1.The researcher wants to use fat content to predict calories. What is the expla

Question

1.The researcher wants to use fat content to predict calories. What is the explanatory variable? ____________

2. Compute the linear correlation coefficient. __________

                   Is there a linear correlation? ______________

3. Find the least-squares regression line.

4. What is the slope?

     What is the y-intercept?

5. Predict the number of calories in a sandwich that has 30 grams of fat.

6. A cheeseburger from Sonic has 700 calories and 42 grams of fat. Is the number of calories for this sandwich above or below average among all sandwiches with 42 grams? ___________________________

Explanation / Answer

1) explanatory variable is fat content.

2) linear correlation coefficient=0.944 .It is almost linearly correlated.

3) least regression line is Calories=151+13.7*Fat Content(g)

4)slope=13.7 ,y-intercept=151

5)The predicted number of calories in a sandwich that has 30 grams of fat is 562

6) below (average is 726)

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