a. State the multiple regression equation. b. Interpret the regression coefficients in (a). c. Predict the mean end-of-training exam score for a student with a proficiency exam score of 100 who had courseware app- based training.ni

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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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Please show how to do this using PH STAT, not sure how to set up dummy variables. Thx
504
CHAPTER 14 Introduction to Multiple Regression
14.49 The director of a training program for a large insurance
company has the business objective of determining which training
method is best for training underwriters. The three methods to be
evaluated are classroom, online, and courseware app. The 30 train-
ees are divided into three randomly assigned groups of 10. Before
the start of the training, each trainee is given a proficiency exam
that measures mathematics and computer skills. At the end of the
training, all students take the same end-of-training exam. The re-
sults are organized and stored in Underwriting.
Develop a multiple regression model to predict the score on
the end-of-training exam, based on the score on the proficiency
exam and the method of training used. For (a) through (k), do not
include an interaction term.
a. State the multiple regression equation.
b. Interpret the regression coefficients in (a).
c. Predict the mean end-of-training exam score for a student with
a proficiency exam score of 100 who had courseware app-
based training. ni botgmd
d. Perform a residual analysis on your results and determine
whether the regression assumptions are valid.
e. Is there a significant relationship between the end-of-training
exam score and the independent variables (proficiency score
and training method) at the 0.05 level of significance?
Transcribed Image Text:504 CHAPTER 14 Introduction to Multiple Regression 14.49 The director of a training program for a large insurance company has the business objective of determining which training method is best for training underwriters. The three methods to be evaluated are classroom, online, and courseware app. The 30 train- ees are divided into three randomly assigned groups of 10. Before the start of the training, each trainee is given a proficiency exam that measures mathematics and computer skills. At the end of the training, all students take the same end-of-training exam. The re- sults are organized and stored in Underwriting. Develop a multiple regression model to predict the score on the end-of-training exam, based on the score on the proficiency exam and the method of training used. For (a) through (k), do not include an interaction term. a. State the multiple regression equation. b. Interpret the regression coefficients in (a). c. Predict the mean end-of-training exam score for a student with a proficiency exam score of 100 who had courseware app- based training. ni botgmd d. Perform a residual analysis on your results and determine whether the regression assumptions are valid. e. Is there a significant relationship between the end-of-training exam score and the independent variables (proficiency score and training method) at the 0.05 level of significance?
PROTECTED VIEW Be careful-files from the Internet can contain viruses. Unless you need
B15
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Method
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Transcribed Image Text:PROTECTED VIEW Be careful-files from the Internet can contain viruses. Unless you need B15 fr 97 E End-of-Training Proficiency Method 2 14 94 classroom 19 96 classroom 4 17 98 classroom 38 100 sroom 6. 40 102 classroom 7 26 105 classroom 8 41 109 classroom 9. 28 110 classroom 10 36 111 classroom 11 66 130 classroom 12 38 80 online 13 34 84 online 14 43 90 online 15 43 97 online 16 61 97 online 17 63 112 online 18 93 115 online 19 74 118 online 20 76 120 online 21 79 120 online 22 55 92 courseware app 23 53 96 courseware app 24 55 99 courseware app 25 52 101 courseware app 26 35 102 courseware app 27 46 104 courseware app 28 57 107 courseware app 29 55 110 courseware app 30 42 111 courseware app 31 81 118 courseware app 32
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