The weekly advertising expenditure (x) and weekly sales (y) in thousands of dollars are presented in the fol correlation and regression rules use it to find: The correlation coeficient r between advertising expenditure (x) and weekly sales (y) The linear regression equation modeling the relation between advertising expenditure (x) and weekly sales (y). If the company decided to increase the advertising expenditure (x) to 10, what will be the expected weekly sales y)? advertising expenditure weekly sales VSS(x)SS() $S(x)- sua of quares for v 2.4 15.0 3.0 33.0 5.0 14.0 S5() - sun of squares for y 2.4 35.0 2.2 14.0 SS(v)- sun af quar for y

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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The weekly advertising expenditure (x) and weekly sales (y) in thousands of dollars are presented in the fol
correlation and regression rules use it to find:
The correlation coefficient r between advertising expenditure (x) and weekly sales (y)
The linear regression equation modeling the relation between advertising expenditure (x) and weekly sales (y).
If the company decided to increase the advertising expenditure (x) to 10, what will be the expected weekly sales (y)?
SS(xy)
advertising
expenditure
weekly
sales
$5(x)- um of quares for
2.4
15.0
3.0
33.0
5.0
14.0
55()- sum of squares for y
24
35.0
(E
2.2
14.0
SS() - sum at squarestor
-2 -
Transcribed Image Text:The weekly advertising expenditure (x) and weekly sales (y) in thousands of dollars are presented in the fol correlation and regression rules use it to find: The correlation coefficient r between advertising expenditure (x) and weekly sales (y) The linear regression equation modeling the relation between advertising expenditure (x) and weekly sales (y). If the company decided to increase the advertising expenditure (x) to 10, what will be the expected weekly sales (y)? SS(xy) advertising expenditure weekly sales $5(x)- um of quares for 2.4 15.0 3.0 33.0 5.0 14.0 55()- sum of squares for y 24 35.0 (E 2.2 14.0 SS() - sum at squarestor -2 -
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