Prove that the logistic regression curve (5.1) has the steepest slope where 7 (x) = Generalize to model (5.8). }.
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- The variable income (yearly) is examined in a regression setting where the predictor variable is the lag (1) of income and the following output is produced. a) Write down the regression equation. b) Interpret the meaning of the slope. c) A dummy variable for gender (male=0, female=1) was added to the model. Interpret its coefficient of -0.2. Us_change %>% model(TSLM(log(Income) ~ log(LagIncome))) %>% report() #> Series: Consumption #> Model: TSLM #> #> Residuals: #> Min 1Q Median 3Q Max #> -2.5824 -0.2778 0.0186 0.3233 1.4223 #> #> Coefficients: #> Estimate Std. Error t value Pr(>|t|) #> (Intercept) 0.5445 0.0540 10.08 < 2e-16 *** #> Log(LagIncome) 1.1000 0.0467 5.82 2.4e-08 *** #> --- #> Signif.codes: 0 '***'0.001'**'0.01'*' 0.05'.' 0.1 ' ' 1 #> #> Residual standard error: 0.591 on 196 degrees of freedom #>…A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: Y=ax+b a= -0.921 b= 39.616 r^= 0.483025 r= -0.695 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)In a statistics course, a linear regression equation was computed to predict the final-exam score from the score on the first test. The equation as ˆ y = 14 + 0.5 x y ^ = 14 + 0.5 x where y is the final-exam score and x is the score on the first test. Andrea scored 75 on the first test. What is the predicted value of the Andrea's score on the final exam? Andrea scored 56.5 on the final exam. What is the value of the residual?
- Please help on how to solve this Stata regressionA regression line for a set of data is calculated and found to be y^=85+12x. Use this to predict a value of y when x= 0.A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).The results of the regression were: ˆyy^=a+bxa=-1.778b=0.143 (d) If the life expectancy is increased by 5 years in a certain country, how much will the happiness index change? Round to two decimal places.(e) Use the regression line to predict the happiness index of a country with a life expectancy of 94 years. Round to two decimal places.
- How do you find the third derivative of the equation for the standard normal bell curve? With steps would be greatly appreciated!A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:ˆy=bx+ay^=bx+ab=−1.217b=-1.217a=39.762a=39.762R2=0.695556R2=0.695556a) Use this to predict the number of situps a person who watches 13 hours of TV can do (to 3 decimal places) b) What is the value of the correlation coefficient (to 3 decimal places) ?A nkcschools.instructure.com A herd of 21 bison are introduced into Waterton Lakes National Park in Canada. The park can handle at most 315 bison. In the absence of limiting factors, the bison population would increase by 26% per year. Create a logistic model for the bison population N. Let t represent the time in years. Please use the equation editor (Insert --> Equation) to write your function! When needed, round regression parameters to 3 decimal places. Edit View Insert Format Tools Table 12pt v Paragraph v B I U A v
- Calculate Regression equationThe regression equation relating attitude rating(x) and job performance (y) for ten randomly selected employees of a company is y^=117-1.02x. Predict the job performance rating for an employee whose attitude rating is 55. Show work.A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy). The results of the regression were: ˆy=y^=5.06x+x+24.49r2=r2=0.619369 r=r=0.787 Use this to predict the final exam score of a student who studies 12 hours per week, and please round your answer to a whole number.