11.27 A firm that prints automobile bumper stickers conducts a study to investigate the relation between the direct cost of producing an order of bumper stickers (TOTCOST) and the number of stickers (RunSize, in 1,000s of stickers) in a particular order. The data are given in the following table. RunSize 4.0 327 2.5 2.6 5.0 10.0 TOTCOST 230 341 629 6 0.8 1.0 206 124 155 147 5.0 2.0 1.0 1.5 TOTCOST 209 247 135 125 366 1,146339208150 179 3.0 6.5 2.2 1.0 258 415 226 159 2.0 .8 RunSize 2.0 3.0 .4 .5 5.0 20.0 1.0 TOTCOST 128 155 143 RunSize .5 1.0 2.0 1.5 a. Plot a scatterplot of the data. Do you detect any difficulties with using a linear regression model? Can you find any blatant violations of the regression assumptions? b. Compute the estimated regression line. C. Estimate the residual standard deviation

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11.27 A firm that prints automobile bumper stickers conducts a study to investigate the relation
between the direct cost of producing an order of bumper stickers (TOTCOST) and the number
of stickers (RunSize, in 1,000s of stickers) in a particular order. The data are given in the
following table.
RunSize
4.0
327
2.5
2.6 5.0 10.0
TOTCOST 230 341 629
6 0.8 1.0
206 124 155 147
5.0 2.0 1.0 1.5
TOTCOST 209 247 135 125 366 1,146339208150 179
3.0 6.5 2.2 1.0
258 415 226 159
2.0
.8
RunSize
2.0 3.0
.4
.5
5.0 20.0
1.0
TOTCOST 128 155 143
RunSize
.5
1.0
2.0
1.5
a. Plot a scatterplot of the data. Do you detect any difficulties with using a
linear regression model? Can you find any blatant violations of the regression
assumptions?
b. Compute the estimated regression line.
C. Estimate the residual standard deviation
Transcribed Image Text:11.27 A firm that prints automobile bumper stickers conducts a study to investigate the relation between the direct cost of producing an order of bumper stickers (TOTCOST) and the number of stickers (RunSize, in 1,000s of stickers) in a particular order. The data are given in the following table. RunSize 4.0 327 2.5 2.6 5.0 10.0 TOTCOST 230 341 629 6 0.8 1.0 206 124 155 147 5.0 2.0 1.0 1.5 TOTCOST 209 247 135 125 366 1,146339208150 179 3.0 6.5 2.2 1.0 258 415 226 159 2.0 .8 RunSize 2.0 3.0 .4 .5 5.0 20.0 1.0 TOTCOST 128 155 143 RunSize .5 1.0 2.0 1.5 a. Plot a scatterplot of the data. Do you detect any difficulties with using a linear regression model? Can you find any blatant violations of the regression assumptions? b. Compute the estimated regression line. C. Estimate the residual standard deviation
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