What is the regression equation? Predict the total number of points on the quiz

Question

What is the regression equation? Predict the total number of points on the quiz for a person studying 4 hours. A variable that is being predicted by another variable is called a(n) A. predictor variable B. criterion variable C. independent variable D. two of the above are correct Which of the following correlations is stronger? A. +2.56 B. +0.53 C. -0.87 Computing correlations is appropriate when we have A. measurement data B. ratio data C. categorical data D. two of the above are correct Two variables, X and Y, have a significant linear correlation. Under what conditions can the direction of causality be determined just from knowing the correlation coefficient? A. when the correlation is negative B. when the correlation is positive C. neither a) nor b) are correct D. both A and B are correct If you conducted a study where you could account 64% variability for one variable with another variable, which of the following correlation coefficients did you find? A. -64 B. -80 C. -4096 D. none of the above are correct

Explanation / Answer

The correct option of question #13 is B) Criterion variable

Because in regression analysis the criterion variable is the variable that we want to predict it based on other

independent variable. In general, the criterion variable is nothing but the dependent variable so it is predicted from

other variables.

Option A) is not correct because predictor varible is nothing but independent variable so that it is used for

prediction.

14) The correlation coefficient(R) always lies between -1 and +1 that is -1 <= R <= 1

Since +2.56 isgreater than +1 and it is not lie in between -1 and + so answer A is not correct

When R is closed to -1 or 1 then there is stron correlation.

So correct answer is C: -0.87

15) Correlation coefficient is appropriate when the pair data set of two variables are measure numerically.

So correct option of 15 is A)

16) The correct option is 16

Because if there is negative correlation between X and Y then increase in X implies that decrease in Y

and vice - versa that is X and Y variaes in opposite direction if the correlation between them is negative.

if there is positive correlation between X and Y then increase in X implies that increase in Y and decrease in X

implies that decrease in Y that is X and Y varies in the same directions if the correlation between them is positive.

17) R^2 = 0.64 so that R = square root of 0.64 = 0.80

So that the answer of 17 is B.

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