the scatter plot shows the theater revenue and rental revenue for each of 21 movies. also shown is the line…

the scatter plot shows the theater revenue and rental revenue for each of 21 movies. also shown is the line of best fit for the data. fill in the blanks below. (a) for these 21 movies, as theater revenue increases, rental revenue tends to (choose one) (b) for these 21 movies, there is (choose one) correlation between theater revenue and rental revenue. (c) using the line of best fit, we would predict that a movie generating a theater revenue of 50 million dollars would generate a rental revenue of approximately (choose one)

the scatter plot shows the theater revenue and rental revenue for each of 21 movies. also shown is the line of best fit for the data. fill in the blanks below. (a) for these 21 movies, as theater revenue increases, rental revenue tends to (choose one) (b) for these 21 movies, there is (choose one) correlation between theater revenue and rental revenue. (c) using the line of best fit, we would predict that a movie generating a theater revenue of 50 million dollars would generate a rental revenue of approximately (choose one)

Answer

Explanation:

Step1: Analyze scatter - plot trend

As we move from left to right (theater revenue increasing) on the scatter - plot, the points (rental revenue) generally move upwards. So, as theater revenue increases, rental revenue tends to increase.

Step2: Determine correlation type

Since the points on the scatter - plot follow an upward - sloping pattern, there is a positive correlation between theater revenue and rental revenue.

Step3: Predict rental revenue

Locate 50 on the x - axis (theater revenue). Then, find the corresponding y - value (rental revenue) on the line of best fit. By visual inspection, when theater revenue is 50 million dollars, the rental revenue on the line of best fit is approximately 10 million dollars.

Answer:

(a) increase (b) a positive (c) 10 million dollars