Question 21 1 pts Match each correlation to the corresponding scatterplot. (1) (2) (3) (4) (1) [ Choose ] Choose r = 0.45 (2) r = 0.92 r = -0.70 r = 0.06 (3) [ Choose ] (4) [ Choose ] vQuestion 22 1 pts Use the following information for Questions 22-23. The scatterplot below (left) shows the relationship between the number of calories and amount of carbohydrates (in grams) Starbucks food menu items contain. The scatterplot includes the regression line. Since Starbucks only lists the number of calories on the display items, we are interested in predicting the amount of carbohydrates a menu item has based on its calorie content. A regression is conducted and the residual plot is shown below (right). E i ) . 20 @ . ': * : . E 59 & '.. .-. . % 8 B B 0 E " - . * H E [ 40 5, s o o o8, s* ) \"2e8 - -20 20- .1- * 100 200 300 400 100 200 300 400 500 Calories Calories Question 23 1 pts The residual plot from the previous question has a problem with which assumption/condition? Choose the correct answer below. O Quantitative variables condition O Linearity condition O Outlier condition O Equal spread condition Independence assumptionUse the following information for Questions 24-25. A company offers a birthday discount to customers with a membership. The marketing director notes that 12% of customers with memberships use the discount. For a random sample of 250 customers, find the expected value and standard deviation for the number of people who will use the discount. Round your answers to two decimal places as needed. Expected number of customers with memberships who will use the discount = Standard deviation for number of customers with memberships who will use the discount = Round your answer to two decimal places as needed. Question 16 1 pts The following question is based on a dataset of rental properties, including details such as Price, Number of Bedrooms, Number of Bathrooms, whether it's an Entire Home/Apartment, and ratings for Overall Experience and Cleanliness. Each property's features and ratings have been correlated to understand their relationships. Entire Overall Cleanliness Price Bedrooms Bathrooms Home/Apt rating rating Price 1 Bedrooms 0.755 1 Bathrooms 0.481 0.648 1 Entire Home/Apt 0.422 0.511 0.199 1 Overall rating 0.050 -0.130 0.002 0.065 1 Cleanliness rating 0.129 0.024 0.012 0.156 0.769 1 Using the correlation matrix above, which of the property features has the strongest correlation with the Price? Choose the correct answer below. @ Bedrooms () Bathrooms () Entire Home/Apt () Overall Rating () Cleanliness Rating