Burgers.
You examined the association between the amounts of Fat and Calories in fast-food hamburgers. Here are the data:
|
Fat(g)
|
19
|
31
|
34
|
35
|
39
|
39
|
43
|
|
Calories
|
410
|
580
|
590
|
570
|
640
|
680
|
660
|
a) Create a scatterplot of Calories vs. Fat.
b) Interpret the value of R2 in this context.
c) Write the equation of the line of regression.
d) Use the residuals plot to explain whether your linear model is appropriate.
e) Explain the meaning of the y-intercept of the line.
f) Explain the meaning of the slope of the line.
g) A new burger containing 28 grams of fat is introduced. According to this model, its residual for calories is +33 How many calories does the burger have?