Question 1

The value from the line of best fit or linear regression model is just an estimate for the response variable.

True

False

Question 2

Seventy-six Starbucks food items were analyzed for the calorie and carbohydrate content. A linear regression was used to explore the relationship between the number of calories and amount

of carbohydrates (in grams) Starbucks food menu items contain. The estimated regression equation with carbohydrates as the response variable and the calories as the explanatory variable isy=8.94+0.11x

If a menu item contains 300 calories, what is the predicted value for the number of carbohydrates in the food item? Round to the nearest whole number.

42

41

50

9

Question 3

Correlation always takes a value between 0 and 1.

True

False

Question 7

The closer the correlation coefficient R is to zero the stronger the correlation

True

False

Question 8

The R^2of a linear model determines how much of the dependent variable that can be explained by the ______________ variable.

independent

response variable

data set

R value

Question 9

Outliers in regression are observations that fall near the cloud of points.

True

False

Question 10

R^2is a value that is used to determine the strength of a linear fit.

True

False