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STAT170 Workshop Notes prepared by Nan Carter for Numeracy ...

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Question 2.<br />

The following table gives a sample of advertising<br />

expenditures and associated sales volumes <strong>for</strong> a<br />

company during 10 randomly selected months. We are<br />

interested in being able to predict gross monthly<br />

sales volume from the amount spent on advertising.<br />

(from J. Gosling, Introductory Statistics)<br />

Month 1 2 3 4 5 6 7 8 9 10<br />

Advertising<br />

expenses<br />

(x $10 000)<br />

1.2 0.8 1.0 1.3 0.7 0.8 1.0 0.6 0.9 1.1<br />

Sales Volume 101<br />

(x $10 000)<br />

92 110 120 90 82 93 75 91 105<br />

a) Draw, and comment on, a scatter plot of the data.<br />

b) State the slope of the regression line<br />

c) State the intercept of the regression line.<br />

d) State the equation of the regression line.<br />

e) Draw the line on your scatter plot.<br />

f) Interpret the regression equation; would it be<br />

useful <strong>for</strong> prediction?<br />

g) Check the assumptions of the model.<br />

Scatterplot of sales against advertising expenses<br />

1.4<br />

1.3<br />

1.2<br />

1.1<br />

1.0<br />

0.9<br />

0.8<br />

0.7<br />

0.6<br />

0.5<br />

Advertising expenses (x $10000)<br />

70 80 90 100 110 120 130<br />

30<br />

Sales Volume (x $10 000)<br />

<strong>Nan</strong> <strong>Carter</strong>: workshop notes <strong>prepared</strong> <strong>for</strong> <strong>Numeracy</strong> Centre Macquarie University.

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