Question

Suppose that for a typical FedEx package delivery, the cost of the shipment is a function of the weight of the package measured in ounces. You want to try to predict the cost of a typical shipment given package dimensions. If 10 packages in a city are sampled and the regression output is given below, what can we conclude about the slope of weight?

Predictor Constant weight Coef 2.039 0.612 Stdev 2.0417 0.0829 t-ratio 0.3473 7.38 <0.0001 R-sq 87.2% R-sq (adj ) 85 . 6% s = 1.262 Analysis of Variance SOURCE Regression Error Total DE MS 86.8 12.7 99.5 86.8 1 54.49 <0. 0001

Question 22 options:

	1) The slope is equal to 0.
	2) Since we are not given the dataset, we do not have enough information to determine if the slope differs from 0.
	3) The slope is 0.612 and therefore differs from 0.
	4) Not enough evidence was found to conclude the slope differs significantly from 0.
	5) The slope significantly differs from 0.

Suppose that a researcher wants to predict the weight of female college athletes based on their height and percent body fat. If a sample is taken and the following regression table is produced, what is the correct conclusion about the regression slopes based on the F-test alone?

Question 23 options:

	1) At least one of the regression slopes does not equal zero.
	2) We did not find significant evidence to conclude that at least one slope differs from zero.
	3) All the regression slopes do not equal zero.
	4) We do not have the dataset, therefore, we are unable to make a conclusion about the slopes.
	5) All the regression slopes are equal to zero.

Answer 1

22)

P value is very small

Thus, we can reject null

5) The slope significantly differs from 0.

23)

P value is very small

Thus, we can reject null

1) At least one of the regression slopes does not equal zero.