national pharmacy chain. Linear regression produced the equation s = 25.4a + 4.5, with r = 0.57. A local pharmacy in the chain had sales of $875 000 with a flier advertising budget of $50 000. The store manager was concerned about the accuracy of the model.

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Author:Amos Gilat
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A market researcher found a correlation
between advertising budgets for fliers (a,
in thousands of dollars) and sales (s, in
thousands of dollars) at local stores of a
national pharmacy chain. Linear regression
produced the equation s = 25.4a + 4.5,
with r = 0.57. A local pharmacy in the
chain had sales of $875 000 with a flier
advertising budget of $50 000. The store
manager was concerned about the
accuracy of the model.
a)
The manager should not be
concerned because the model
predicts this level of sales.
b)
The correlation coefficient
indicates a moderate correlation,
so variation should be expected.
c)
The correlation coefficient
indicates a moderate correlation,
so all predictions with the model
will be inaccurate.
d)
The manager should be concerned
Transcribed Image Text:A market researcher found a correlation between advertising budgets for fliers (a, in thousands of dollars) and sales (s, in thousands of dollars) at local stores of a national pharmacy chain. Linear regression produced the equation s = 25.4a + 4.5, with r = 0.57. A local pharmacy in the chain had sales of $875 000 with a flier advertising budget of $50 000. The store manager was concerned about the accuracy of the model. a) The manager should not be concerned because the model predicts this level of sales. b) The correlation coefficient indicates a moderate correlation, so variation should be expected. c) The correlation coefficient indicates a moderate correlation, so all predictions with the model will be inaccurate. d) The manager should be concerned
between advertising budgets for fliers (a,
in thousands of dollars) and sales (s, in
thousands of dollars) at local stores of a
national pharmacy chain. Linear regression
produced the equation s = 25.4a + 4.5,
with r = 0.57. A local pharmacy in the
chain had sales of $875 000 with a flier
advertising budget of $50 000. The store
manager was concerned about the
accuracy of the model.
a)
The manager should not be
concerned because the model
predicts this level of sales.
b)
The correlation coefficient
indicates a moderate correlation,
so variation should be expected.
c)
The correlation coefficient
indicates a moderate correlation,
so all predictions with the model
will be inaccurate.
d)
The manager should be concerned
about the accuracy of the model.
Transcribed Image Text:between advertising budgets for fliers (a, in thousands of dollars) and sales (s, in thousands of dollars) at local stores of a national pharmacy chain. Linear regression produced the equation s = 25.4a + 4.5, with r = 0.57. A local pharmacy in the chain had sales of $875 000 with a flier advertising budget of $50 000. The store manager was concerned about the accuracy of the model. a) The manager should not be concerned because the model predicts this level of sales. b) The correlation coefficient indicates a moderate correlation, so variation should be expected. c) The correlation coefficient indicates a moderate correlation, so all predictions with the model will be inaccurate. d) The manager should be concerned about the accuracy of the model.
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