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

9. Question 9 What characteristic of the outcome variable (Y) suggests that a logistic regression is a suitable methodology? 1 point     When the outcome is a dichotomous variable…

## A simple regression equation decomposes the observed data into two parts: the fitted values and the residuals. What is the interpretation of a residual?

6. Question 6 A simple regression equation decomposes the observed data into two parts: the fitted values and the residuals. What is the interpretation of a residual? 1 point  …

## You can NOT use a regression for which of the following activities?

5. Question 5 You can NOT use a regression for which of the following activities? 1 point    Identifying unusual data points  You can in fact use a regression model…

## If two variables have a correlation of -1, then what do you know about them?

4. Question 4 If two variables have a correlation of -1, then what do you know about them? 1 point     They have a perfect positive linear association  …

## A simple regression models which function of the outcome variable (Y)?

2. Question 2 A simple regression models which function of the outcome variable (Y)? 1 point    It models the mean of the outcome as a function of X  It…

## What is the difference between a simple regression model and a multiple regression model?

1. Question 1 What is the difference between a simple regression model and a multiple regression model? 1 point   A simple regression model can handle only limited amounts of…

## In the regression demand equation E(log⁡〖(Sales) | Price))=11.015 -2.442 log⁡(Price)〗, at a price of \$1, what is the expected value of sales? The log here, is the natural log.

8. Question 8 In the regression demand equation E(log⁡〖(Sales) | Price))=11.015 -2.442 log⁡(Price)〗, at a price of \$1, what is the expected value of sales? The log here, is the…

## 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?

10. Question 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…

## Given the fitted the regression equation of E(Price │ Weight) =-260 + 3721 ⨯ Weight and an RMSE from the regression of 32, then which of the following is the approximate 95% prediction interval for the price of a diamond that weighs 0.2 carats? Assume that the residuals are Normally distributed and that the prediction is within the range of the data that was used to fit the model.

7. Question 7 Given the fitted the regression equation of E(Price │ Weight) =-260 + 3721 ⨯ Weight and an RMSE from the regression of 32, then which of the…

## If the simple regression for the expected price (in US\$) of a diamond given its weight (in carats) is modeled as E(Price │ Weight) = -260 + 3721 ⨯Weight , then what is the expected price of a diamond that weighs 0.2 of a carat?

3. Question 3 If the simple regression for the expected price (in US\$) of a diamond given its weight (in carats) is modeled as E(Price │ Weight) = -260 +…