An important company asks you as a professional to build a report where the products are evidenced defective ( x ) versus the number of times maintenance and supervision was performed on the machine ( y ) and they supply these data. (img 1) A. What are the mean and median of each distribution? B. What is the variance and standard deviation of each distribution? C. Make the scatterplot, calculate the covariance and discuss it D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? comment on it

An important company asks you as a professional to build a report where the products are evidenced defective ( x ) versus the number of times maintenance and supervision was performed on the machine ( y ) and they supply these data. (img 1) A. What are the mean and median of each distribution? B. What is the variance and standard deviation of each distribution? C. Make the scatterplot, calculate the covariance and discuss it D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? comment on it

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter1: Fundamental Concepts Of Algebra

Section1.2: Exponents And Radicals

Problem 46E

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Question

LINEAR REGRESSION

1) An important company asks you as a professional to build a report where the products are evidenced defective ( x ) versus the number of times maintenance and supervision was performed on the machine ( y ) and they supply these data.

(img 1)

A. What are the mean and median of each distribution?

B. What is the variance and standard deviation of each distribution?

C. Make the scatterplot, calculate the covariance and discuss it

D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? comment on it

thanks for help

X 400 390 500 355 375 350 370 480 450 500
Y 20
19
28
15
19 16 18 26 22 27

Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.

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