The linear regression model of two numerical variables X and Y is given by Y; = -5X; + 22 where 2 < X; < 56. %3D The slope -5 represents Select one: O a. the predicted increase of the value of Y, if X increases one unit O b. the predicted decrease of the value of X, if Y increases one unit O c. the predicted average value of Y when X is equal to zero O d. the predicted average value of X when Y is equal to zero O e. the predicted decrease of the value of Y, if X increases one unit O f the predicted increase of the value of X. if Y increases one unit

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The linear regression model of two numerical variables X and Y is given by Y; = -5X; + 22
where 2 < X, < 56.
%3D
The slope -5 represents
Select one:
O a. the predicted increase of the value of Y, if X increases one unit
O b. the predicted decrease of the value of X, if Y increases one unit
O c. the predicted average value of Y when Xis equal to zero
O d. the predicted average value of X when Y is equal to zero
O e. the predicted decrease of the value of Y, if X increases one unit
O f. the predicted increase of the value of X, if Y increases one unit
Transcribed Image Text:The linear regression model of two numerical variables X and Y is given by Y; = -5X; + 22 where 2 < X, < 56. %3D The slope -5 represents Select one: O a. the predicted increase of the value of Y, if X increases one unit O b. the predicted decrease of the value of X, if Y increases one unit O c. the predicted average value of Y when Xis equal to zero O d. the predicted average value of X when Y is equal to zero O e. the predicted decrease of the value of Y, if X increases one unit O f. the predicted increase of the value of X, if Y increases one unit
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