1. Fill in the blank: For these data, values for campaign cost that are less than the mean of the values for campaign cost tend to be paired with values for percentage increase in sales that are of the values for percentage increase in sales. Choose one the mean 2. According to the regression equation, for an increase of one million dollars in advertising campaign cost, there is a corresponding increase || of how many percent in sales? 3. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 3.45 million dollars? (Round your answer to at least two decimal places.)

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1. Fill in the blank: For these data, values for campaign cost that are
less than the mean of the values for campaign cost tend to be paired
with values for percentage increase in sales that are
of the values for percentage increase in sales.
Choose one
the mean
2. According to the regression equation, for an increase of one million
dollars in advertising campaign cost, there is a corresponding increase
of how many percent in sales?
3. From the regression equation, what is the predicted percentage
increase in sales when the advertising campaign cost is 3.45 million
dollars? (Round your answer to at least two decimal places.)
4. From the regression equation, what is the predicted percentage
increase in sales when the advertising campaign cost is 3.95 million
dollars? (Round your answer to at least two decimal places.)
Transcribed Image Text:1. Fill in the blank: For these data, values for campaign cost that are less than the mean of the values for campaign cost tend to be paired with values for percentage increase in sales that are of the values for percentage increase in sales. Choose one the mean 2. According to the regression equation, for an increase of one million dollars in advertising campaign cost, there is a corresponding increase of how many percent in sales? 3. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 3.45 million dollars? (Round your answer to at least two decimal places.) 4. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 3.95 million dollars? (Round your answer to at least two decimal places.)
6:41
AA
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O REGRESSION AND CORRELATION
Predictions from the least-squares.
An advertising firm wishes to demonstrate to its clients the effectiveness
of the advertising campaigns it has conducted. The following bivariate
data on fifteen recent campaigns, including the cost of each campaign
(in millions of dollars) and the resulting percentage increase in sales
following the campaign, were presented by the firm. Based on these
data, we would compute the least-squares regression line to be
P-6.24 + 0.15x, with x representing campaign cost and y representing the
resulting percentage increase in sales. (This line is shown in Figure 1,
along with a scatter plot of the data.)
Campaign cost, Increase in sales
(in millions of
dollars)
y
(рercent)
2.96
6.90
4.08
6.98
2.01
6.52
2.37
6.60
2.95
6.59
3.45
6.83
64.
1.67
6.20
62
1.20
6.48
3.62
6.73
1.75
6.57
2.09
6.83
Figure 1
3.42
6.48
Send data to Excel
Answer the following:
1. Fill in the blank: For these data, values for campaign cost that are
less than the mean of the values for campaign cost tend to be paired
Choose one
with values for percentage increase in sales that are the mean
of the values for percentage increase in sales.
2. According to the regression equation, for an increase of one million
dollars in advertising campaign cost, there is a corresponding increase U
of how many percent in sales?
3. From the regression equation, what is the predicted percentage
increase in sales when the advertising campaign cost is 3.45 million
dollars? (Round your answer to at least two decimal places.)
4. From the regression equation, what is the predicted percentage
increase in sales when the advertising campaign cost is 3.95 million
dollars? (Round your answer to at least two decimal places.)
?
Explanation
Check
O 2021 McGraw-HII Education. All Rights Reserved. Terms of UseI Privacy I Accessibity
Transcribed Image Text:6:41 AA www-awn.aleks.com O REGRESSION AND CORRELATION Predictions from the least-squares. An advertising firm wishes to demonstrate to its clients the effectiveness of the advertising campaigns it has conducted. The following bivariate data on fifteen recent campaigns, including the cost of each campaign (in millions of dollars) and the resulting percentage increase in sales following the campaign, were presented by the firm. Based on these data, we would compute the least-squares regression line to be P-6.24 + 0.15x, with x representing campaign cost and y representing the resulting percentage increase in sales. (This line is shown in Figure 1, along with a scatter plot of the data.) Campaign cost, Increase in sales (in millions of dollars) y (рercent) 2.96 6.90 4.08 6.98 2.01 6.52 2.37 6.60 2.95 6.59 3.45 6.83 64. 1.67 6.20 62 1.20 6.48 3.62 6.73 1.75 6.57 2.09 6.83 Figure 1 3.42 6.48 Send data to Excel Answer the following: 1. Fill in the blank: For these data, values for campaign cost that are less than the mean of the values for campaign cost tend to be paired Choose one with values for percentage increase in sales that are the mean of the values for percentage increase in sales. 2. According to the regression equation, for an increase of one million dollars in advertising campaign cost, there is a corresponding increase U of how many percent in sales? 3. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 3.45 million dollars? (Round your answer to at least two decimal places.) 4. From the regression equation, what is the predicted percentage increase in sales when the advertising campaign cost is 3.95 million dollars? (Round your answer to at least two decimal places.) ? Explanation Check O 2021 McGraw-HII Education. All Rights Reserved. Terms of UseI Privacy I Accessibity
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