Question

9.) What characteristic of the outcome variable (Y) suggests that a logistic regression is a suitable methodology?

a.) When the outcome is a continuous variable

b.) When the outcome variable has a large variance

c.) When the outcome is always positive

d.) When the outcome is a dichotomous variable

10.) If, in a multiple regression of the price of a diamond against the two predictor variables, weight and color, the R² of the regression was 0.985, then which of the following is the best interpretation of this value?

a.) The correlation between price and weight is 0.985

b.) None of these are true

c.) The correlation between weight and color is 0.985

d.) 98.5% of the variation in price is explained by weight and color

Need help with these few questions. Please help! Thank you!

Answer 1

9) Answer: (d)

When the outcome is a dichotomous variable

Explanation:

Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary). Like all regression analyses, the logistic regression is a predictive analysis. Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.

10) Answer: (d)

R² is the coefficient of determination: It means that the percentage of variation in the dependent variable is explained by the independent variable only.