(b) Fit the indicated multiple regression and show a summary of the estimated features of the model. Complete the table below. (Round R? and s, to four decimal places. Round all coefficients and standard errors to four decimal places. Round all test statistics to two decimal places. Round all probabilities to three decimal places.) R? Term Estimate Std Error t Ratio Prob > |t| Intercept Detail Sample

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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The data describe promotional spending by a pharmaceutical company. The share is the market share of their product in a certain region. The detail voice is the ratio of promotional visits to doctor's offices for their product to the total number of visits for
similar drugs. The sample voice is the share of samples in the market that are from this company. Formulate the multiple regression model with y given by the market share and x given by the detail voice and sample voice. Complete parts (a) through (f).
Click the icon to view the data table.
0.24+
0.5
1
Sample
Examine the scatterplot of Detail versus Sample. Are there any unusual features in the data? Select all that apply.
0.2-
O A. There is an obvious curve to the data.
0.15-
B. There are leveraged outliers that should be investigated.
0.1-
C. There are no unusual features.
0.05-
0-
0.5
Sample
Do the relevant plots appear straight enough for multiple regression?
Share appears to be
correlated
with Detail.
Share appears to be
correlated
with Sample.
Detail appears to be
correlated
with Sample.
(b) Fit the indicated multiple regression and show a summary of the estimated features of the model. Complete the table below.
(Round R2 and s, to four decimal places. Round all coefficients and standard errors to four decimal places. Round all test statistics to two decimal places. Round all probabilities to three decimal places.)
R?
Se
Term
Estimate
Std Error
t Ratio
Prob > t
Intercept
Detail
Sample
Detail
Transcribed Image Text:The data describe promotional spending by a pharmaceutical company. The share is the market share of their product in a certain region. The detail voice is the ratio of promotional visits to doctor's offices for their product to the total number of visits for similar drugs. The sample voice is the share of samples in the market that are from this company. Formulate the multiple regression model with y given by the market share and x given by the detail voice and sample voice. Complete parts (a) through (f). Click the icon to view the data table. 0.24+ 0.5 1 Sample Examine the scatterplot of Detail versus Sample. Are there any unusual features in the data? Select all that apply. 0.2- O A. There is an obvious curve to the data. 0.15- B. There are leveraged outliers that should be investigated. 0.1- C. There are no unusual features. 0.05- 0- 0.5 Sample Do the relevant plots appear straight enough for multiple regression? Share appears to be correlated with Detail. Share appears to be correlated with Sample. Detail appears to be correlated with Sample. (b) Fit the indicated multiple regression and show a summary of the estimated features of the model. Complete the table below. (Round R2 and s, to four decimal places. Round all coefficients and standard errors to four decimal places. Round all test statistics to two decimal places. Round all probabilities to three decimal places.) R? Se Term Estimate Std Error t Ratio Prob > t Intercept Detail Sample Detail
- X
i
Data Table
Share
Detail (x,)
Sample (x2)
0.256
0.103
0.618
0.276
0.098
0.685
0.269
0.108
0.620
0.274
0.108
0.893
0.261
0.101
0.428
0.262
0.03
0.231
0.27
0.082
0.572
0.26
0.085
0.426
0.271
0.103
0.632
0.263
0.085
0.511
0.266
0.081
0.459
0.255
0.103
0.468
0.266
0.092
0.350
e table
d all te
0.265
0.07
0.268
0.267
0.106
0.500
0.264
0.111
0.411
0.265
0.097
0.556
0.258
0.066
0.309
0.272
0.115
0.662
0.271
0.135
0.626
Print
Done
Transcribed Image Text:- X i Data Table Share Detail (x,) Sample (x2) 0.256 0.103 0.618 0.276 0.098 0.685 0.269 0.108 0.620 0.274 0.108 0.893 0.261 0.101 0.428 0.262 0.03 0.231 0.27 0.082 0.572 0.26 0.085 0.426 0.271 0.103 0.632 0.263 0.085 0.511 0.266 0.081 0.459 0.255 0.103 0.468 0.266 0.092 0.350 e table d all te 0.265 0.07 0.268 0.267 0.106 0.500 0.264 0.111 0.411 0.265 0.097 0.556 0.258 0.066 0.309 0.272 0.115 0.662 0.271 0.135 0.626 Print Done
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