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, report the regression equation. 1)  (cost of delivery) = 1.468*(weight) - 23.015   2)  (weight) = -23.015*(cost of delivery) + 1.468   3)  (cost of delivery) = -23.015*(weight) + 1.468   4)  (cost of delivery) = 1.468*(weight)   5)  (weight) = 1.468*(cost of delivery) - 23.015

MATLAB: An Introduction with Applications
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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, report the regression equation.

1) 

(cost of delivery) = 1.468*(weight) - 23.015
 

2) 

(weight) = -23.015*(cost of delivery) + 1.468
 

3) 

(cost of delivery) = -23.015*(weight) + 1.468
 

4) 

(cost of delivery) = 1.468*(weight)
 

5) 

(weight) = 1.468*(cost of delivery) - 23.015
Predictor
Constant
weight
s = 3.971
Analysis of Variance
SOURCE
Regression
Error
Total
Coef
-23.015
1.468
Stdev
11.2553
0.4674
R-sq = 55.24%
DF
1
8
9
SS
155.7
126.2
281.8
t-ratio
-2.04
3.14
р
MS
155.7
15.8
0.0751
0.0138
R-sq (adj) = 49.64%
F
9.87
p
0.0138
Transcribed Image Text:Predictor Constant weight s = 3.971 Analysis of Variance SOURCE Regression Error Total Coef -23.015 1.468 Stdev 11.2553 0.4674 R-sq = 55.24% DF 1 8 9 SS 155.7 126.2 281.8 t-ratio -2.04 3.14 р MS 155.7 15.8 0.0751 0.0138 R-sq (adj) = 49.64% F 9.87 p 0.0138
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