In: Statistics and Probability
The accompanying table provides data for tar, nicotine, and carbon monoxide (CO) contents in a certain brand of cigarette. Find the best regression equation for predicting the amount of nicotine in a cigarette. Why is it best? Is the best regression equation a good regression equation for predicting the nicotine content? Why or why not?
Tar Nicotine CO
5 0.5 3
15 1.0 19
17 1.1 16
14 0.7 19
14 0.8 19
14 1.0 13
15 1.0 16
14 1.1 14
15 1.2 15
8 0.8 12
13 0.8 18
12 0.8 16
12 0.8 18
15 1.0 17
2 0.3 3
16 1.1 17
15 1.0 14
13 0.7 19
13 1.1 14
15 0.9 16
15 1.1 14
15 1.1 16
8 0.6 8
18 1.3 17
14 1.1 13
Find the best regression equation for predicting the amount of nicotine in a cigarette. Use predictor variables of tar and/or carbon monoxide (CO). Select the correct choice and fill in the answer boxes to complete your choice.
A. Nicotine = __ + (__) Tar + (__) CO
B. Nicotine = __ + (__) Tar
C. Nicotine = __ + (__) CO
the best regression equation for predicting the amount of nicotine in a cigarette.
A. Nicotine = __ + (__) Tar + (__) CO is the correct choice of predicting the variables
Nicotine = 0.255+0.082 Tar - 0.028 CO
Multiple linear regression is one of the best satistica; anlysis to predict the vatiables.
STep 1: Run a Regression analysis in excel followd by below procedures
Goto data tab --> Data analysis --> choose Regression
Results: