{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

# CH16 - 16 SIMPLE LINEAR REGRESSION SECTIONS 1 2 MULTIPLE...

This preview shows pages 1–3. Sign up to view the full content.

16: SIMPLE LINEAR REGRESSION SECTIONS 1 - 2 MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions, please circle the correct answer. 1. The regression line y ˆ = 3 + 2 x has been fitted to the data points (4, 8), (2, 5), and (1, 2). The sum of the squared residuals will be: a. 7 b. 15 c. 8 d. 22 ANSWER: d 2. If an estimated regression line has a y -intercept of 10 and a slope of 4, then when x = 2 the actual value of y is: a. 18 b. 15 c. 14 d. unknown ANSWER: d 3. Given the least squares regression line y ˆ = 5 –2 x : a. the relationship between x and y is positive b. the relationship between x and y is negative c. as x increases, so does y d. as x decreases, so does y ANSWER: b 4. A regression analysis between weight ( y in pounds) and height ( x in inches) resulted in the following least squares line: y ˆ = 120 + 5 x . This implies that if the height is increased by 1 inch, the weight, on average, is expected to: a. increase by 1 pound b. decrease by 1 pound c. increase by 5 pounds d. increase by 24 pounds ANSWER: c 5. A regression analysis between sales (in \$1000) and advertising (in \$100) resulted in the following least squares line: y ˆ = 75 +6 x . This implies that if advertising is \$800, then the predicted amount of sales (in dollars) is: a. \$4875 b. \$123,000 c. \$487,500 d. \$12,300

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document