Run a regression analysis on the following bivariate set of data with y as the response variable. x y 49.1 15.2 53.8 12.1 77.5 -3.6 39.8 47 41.7 14.9 -8.6 132.6 54.9 11.2 11.8 110.4 42.9 13.6 70.8 -28.1 66.1 35.6 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of -16.1 on the response variable. What is the predicted explanatory value? x =

Run a regression analysis on the following bivariate set of data with y as the response variable. x y 49.1 15.2 53.8 12.1 77.5 -3.6 39.8 47 41.7 14.9 -8.6 132.6 54.9 11.2 11.8 110.4 42.9 13.6 70.8 -28.1 66.1 35.6 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of -16.1 on the response variable. What is the predicted explanatory value? x =

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2CYU

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Question

Run a regression analysis on the following bivariate set of data with y as the response variable.

x	y
49.1	15.2
53.8	12.1
77.5	-3.6
39.8	47
41.7	14.9
-8.6	132.6
54.9	11.2
11.8	110.4
42.9	13.6
70.8	-28.1
66.1	35.6

Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of -16.1 on the response variable.

What is the predicted explanatory value?
x =

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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