Question: 1a Regression analysis was applied between $ sales (y) and $ advertising (x) across all the branches of a major international corporation. The following regression

1a Regression analysis was applied between $ sales (y) and $ advertising (x) across all the branches of a major international corporation. The following regression function was obtained:

Y = 5000 + 7.25x

If the advertising budgets of two branches of the corporation differ by $30,000, then what will be the predicted difference in their sales?

a. $222,500 b. $5000 c. $217,500 d. $7.25

1b. What is the purpose of a simple linear regression? a. To predict an independent variable from data from a single dependent variable b. To predict an independent variable from data from multiple dependent variables c. To predict scores of a dependent variable from data from a single independent variable d. To predict a dependent variable from data from multiple independent variables

1c.

1a Regression analysis was applied between $ sales (y) and $ advertising

What does this picture of residuals most likely represent? a. heteroskedasticity b. no problems - NOT c. y-axis imbalance d. X-axis imbalance

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