R-Studio. Thank you in advance! (c) Does the data collected indicate that the monthly sales of a store can be expressed as a linear function the percentage of high school graduates in its customer base? Select the correct statisticaly hypotheses.А. Но : В1В. Но : В — о На : В >0C. Ho : B1 20 HẠ : B1 > 0D. Ho : B1 = 0 HẠ : B1 + 0E. Ho : B1 2 0 HẠ: B1 < 0F. Ho : B1 > 0 HẠ : B10 HA : B1 < 0(d) Using the F-test, test the statistical hypotheses determined in (c). Find the value of the test statistic, using two decimals in your answer.Feale%3D(e) Testing the statistical hypotheses in (c) at a = 0.05, you can conclude from this data that the??v be expressed as a linear function of the?(f) Can you infer from this data that an increase of 1% to the percentage of high school graduates in the customer based will lead to an mean/average increase in the store's monthly sales by more than $50,000?(i) Find the value of the test statistic, use two decimal places in your answer.Tcalc...(ii) Find the P-value of the result, using three decimals.P-value =(g) A store located at a local mall has recently discovered that 90% of its customer base has a high school diploma. With 95% confidence, estimate this store's monthly sales for the current month.3838Note: You will need E, Percent HSGrads; = 2935.17 and E, Percent H SGrads= 228777i=1i=1Lower Bound =$1000s (use one decimal in your answer)Upper Bound =$1000s (use one decimal in your answer)(h) A residual plot of the regression was consulted.Residual Plot(Response is Sales in $1000s)200015001000 -500 --500 --1000-15005001000150020002500Fitted ValueO OResidual A national sporting good store wishes to use demographic information to predict its monthly sales, in $1000s. Thrity-eight, n =38, stores of the chain are randomly chosen across the country. It is known that each store is approximately the same size and carries the samemerchandise.The geographic area from which a store draws its customers is known as the customer base. One of the variables is the percentage of the customer base who have graduated from high school.MonthlySales; = Bo + Bị Percent H SGrads; + e;whereMonthlySales;- is the total sales in month i, in $1000sPercent H SGrads; - is percentage of all customers in store i customer base that have graduated from high schoolA least-squares regression was ran in R producing the following output:Scatter Plot: Sales to High School Graduates4000 -35003000 -2500 -20001500-1000 -500 -0-50556065707580859095Percentage of Customer Base with a HS DiplomaRegression Analysis: MonthlySales versus PercentHSGradsPredictorCoef SD Coef TPConstant|-29701371PercentHSGrads 59.66 17.67S = 802.004 R-Sq =%3DAnalysis of VarianceSourceDFSMS FPRegression7333350Residual Error23155564Total37Using the partial R output, answer the questions below.(a) Estimate the model. Use two-decimals your estimation of the slope term, no decimals in the estimation of the y-intercept.MonthlySales; :Percent H SGrads;+(b) What percentage of the variation in a store's monthly sales cannot be explained by its linear dependency on the percentage of the customer base that are high school graduates? Enter your answer as a percentage, using two decimal places.%Sales in $1000s

Name: R-Studio. Thank you in advance! (c) Does the data collected indicate t
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Description: R-Studio. Thank you in advance! (c) Does the data collected indicate that the monthly sales of a store can be expressed as a linear function the percentage of high school graduates in its customer base? Select the correct statisticaly hypotheses.А. Н

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Using the partial R output, answer the questions below. (a) Estimate the model. Use two-decimals your estimation of the slope term, no decimals in the estimation of the y-intercept. MonthlySales, = I Percent HSGrads, (b) What percentage of the variation in a store's monthly sales cannot be explained by its linear dependency on the percentage of the customer base that are high school graduates? Enter your answer as a percentage, using two decimal places.

Using the partial R output, answer the questions below. (a) Estimate the model. Use two-decimals your estimation of the slope term, no decimals in the estimation of the y-intercept. MonthlySales, = I Percent HSGrads, (b) What percentage of the variation in a store's monthly sales cannot be explained by its linear dependency on the percentage of the customer base that are high school graduates? Enter your answer as a percentage, using two decimal places.

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter2: Exponential, Logarithmic, And Trigonometric Functions

Section2.CR: Chapter 2 Review

Problem 111CR: Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data...

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Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.
Does Table 1 represent a linear function? If so, finda linear equation that models the data.
Suppose that in a research it was discovered that those who majored in math, engineering, or computer science scored higher on tests measuring "problem-solving" ability at the end of 4 years of college than did those students who did not major in these fields. What is the dependent variable in this study? Is the dependent variable clearly defined?
6. In the method of regression, data sets are summarized in a useful form. The "independent" pieces of data are called inputs or regressors, whereas a quantity that is a function of the inputs, will be called a response. In an experiment, the effect of filtration time is related to the volume of clear liquid collected after 5 hours. In this case, which variable will be the input? A. Filtration time B. No. of hours filtration C. Volume of collected liquid D. type of filter paper 7. A/n model being studied and contains information about unexplained variability. A. Residual is the difference between an observation yij and its estimated value from the statistical B. Range C. Mean D. incremental effect
A sales manager wants to examine the relationship between the number of daily customers (x) and the revenue generated (y). For this purpose, he made observations in a randomly chosen 6 days for a store and observed the number of daily customers and the revenue (1000 TL). The personally created data set for the x and y variables is included in the attached “Homework data” file. Using the data set defined on your behalf; x1 x2 x3 x4 x5 x6 y1 y2 y3 y4 y5 y6 sb1 Burak data 74 86 96 105 110 124 290 307 331 406 421 481 0.491 a) Create the regression equation b) Interpret b0 and b1 values c) Test and interpret whether there is a linear relationship between the number of daily customers and the income obtained at the level of α = 0.05 significance. Could you explain this question again and in more detail especially not in excel image
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.05 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? Click the icon to view the data. What are the hypotheses for this test? O A. Ho: At least one of the means is different from the others. Ert = 2rl = 'rt : +H ○B. Ho: H,#2キ3 Hy:Hy =H2=H3 O C. Ho:H1 =H2 =#3 H;:Hチ23 O D. Ho: H1 =H2 H3 H,: At least one of the means is different from the others. Determine the test statistic. F = (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to two decimal places as needed.) What is the conclusion of the test? V the null hypothesis. Conclude that the type of vehicle appear to affect the amount of greenhouse gas emissions…
A sales manager wants to examine the relationship between the number of daily customers (x) and the revenue generated (y). For this purpose, he made observations in a randomly chosen 6 days for a store and observed the number of daily customers and the revenue (1000 TL). The personally created data set for the x and y variables is included in the attached “Homework data” file. Using the data set defined on your behalf; x1 x2 x3 x4 x5 x6 y1 y2 y3 y4 y5 y6 sb1 Burak data 74 86 96 105 110 124 290 307 331 406 421 481 0.491 a) Create the regression equation b) Interpret b0 and b1 values c) Test and interpret whether there is a linear relationship between the number of daily customers and the income obtained at the level of α = 0.05 significance. d) Establish and interpret the 95% confidence interval for β1.
Is there a significant relationship between the two variables?
A sales manager wants to examine the relationship between the number of daily customers (x) and the revenue generated (y). For this purpose, he made observations in a randomly chosen 6 days for a store and observed the number of daily customers and the revenue (1000 TL). The personally created data set for the x and y variables is included in the attached “Homework data” file. Using the data set defined on your behalf; x1 x2 x3 x4 x5 x6 y1 y2 y3 y4 y5 y6 sb1 Burak data 74 86 96 105 110 124 290 307 331 406 421 481 0.491 d) Establish and interpret the 95% confidence interval for β1.
The National Football League (NFL) records a variety of performance data for individuals and teams. To investigate the importance of passing on the percentage of games won by a team, the folloving data show the average number of passing yards per attempt (Yds/Att) and the percentage of games won (WinPct) for a random sample of 10 NFL teams for the 2011 season (NFL vwebsite). Team Yds/Att WinPct Arizona Cardinals 6.9 44 Atlanta Falcons 8.0 69 Carolina Panthers 5.3 19 Chicago Bears 8.3 75 Dallas Covboys 5.4 26 New England Patriots 7.1 54 Philadelphia Eagles 8.4 79 Seattle Seahavwks 8.4 80 St. Louis Rams 6.1 33 Tampa Bay Buccaneers 7.8 70 a. Choose the correct a scatter diagram with the number of passing yards per attempt on the horizontal axis and the percentage of games won on the vertical axis. A. В. Win Pct WinPct! 80- 80 70 70 60 60 50 50 40 40 30- 30 20 20 10- 10- 80- 80 70 70 60 60 50- 50 40 40 30 30 20 20 10- 10- 6. 8. 9. 8. Yds/Att Yds/Att b. What does the scatter diagram…
Christina obtained the following results for about 500 families: Average weight of husband = 170 lbs, SD=10 lbs Average weight of wife=140 lbs, SD=5 lbs • Correlation r=0.4 The scatterplot of the dataset shows the relationship between husbands and wives weights is linear. Of the women who were married to men of weight 200 lbs, their estimated average weight will be (A) 200 (B) 200+0.4* (140-170) (C) 140+ 0.4*10 (200-140) (D) 140+0405 (200-170)
A study was conducted to determine whether the final grade of a student in an introductory psychology course is linearly related to his or her performance on the verbal ability test administered before college entrance. The verbal scores and final grades for 10| students are shown in the table below. Student Verbal Score zFinal Grade y 66 72 76 26 771 72 88 100 90 1| 2| 31 41 51 52 61 58 93 73 7 75 74 81 89 9| 10 55 37 75 82 Find the following: (a) The correlation coefficient: r=| (b) The least squares line: ý = (c) Calculate the residual for the seventh student: