| oll.cru.0du t: \"Assessing the Fit of a Line for S In this scatterplot the ind

Question

| oll.cru.0du t: "Assessing the Fit of a Line for S In this scatterplot the individuals are states. The variable Cig is the number of cigarettes sold per person in the state in 1960. The variable Lung is the deaths one option from each metiu. from lung cancer per 100,ooo people in the state in 1990. g, Part 1: 10 points Part 2: 10 points 35 30 25 20 15 a0 points 10 0S10 20 25 30 3540 4 Residual Plot 10 21 5 225 30 3s Cig Which of the following statements regarding r2 (which is o.49) is valid? iin the Cg (a) There is a 49% chance that the model will accurately predict the Lung v value. - (b) 51% of the variation in the Lung values is due to variables other than Cig

Explanation / Answer

Ans 1

Option B is correct

Ans 2

Option A is correct. Since error is -5.41, It is larger than error in most of predictions(from graph 2). Most of Errors are concentrated in -4 to 4 range

Ans 3

Yes the linear model is appropriate in this case because residual don't follow any particular pattern.

Ans 4

R2represents the amount of variance model is able to capture.

Higher the R square, higher the variance captured by model. So, Option D is correct

Ans 5

Small Standard error indicates that linear model makes more accurate predictions. So, option A is correct

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