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Sales (Y) Calls (X1) Time (X2) Years (X3) Type 21 116 19.9 3 NONE 21 116 18.0 2 GROUP 31 118 19.4 4 ONLINE 33

Sales (Y)

Calls (X1)

Time (X2)

Years (X3)

Type

21

116

19.9

3

NONE

21

116

18.0

2

GROUP

31

118

19.4

4

ONLINE

33

125

16.9

2

ONLINE

32

129

18.5

2

GROUP

29

131

14.6

1

GROUP

33

131

10.0

0

GROUP

42

131

19.4

5

GROUP

40

132

18.5

1

GROUP

33

135

15.3

2

GROUP

33

136

16.9

4

ONLINE

41

136

19.3

3

ONLINE

45

137

15.7

1

GROUP

42

139

12.4

1

GROUP

33

140

17.5

2

GROUP

41

140

13.9

3

NONE

42

141

12.2

3

NONE

42

142

17.0

3

ONLINE

35

143

17.7

3

NONE

40

143

18.3

2

NONE

32

146

15.4

3

GROUP

34

146

15.8

1

GROUP

40

146

18.2

2

NONE

43

146

16.4

0

ONLINE

44

146

16.5

1

NONE

45

146

15.6

3

ONLINE

41

147

18.5

3

GROUP

42

147

13.2

3

GROUP

42

148

10.5

2

GROUP

40

149

14.2

4

ONLINE

41

149

13.2

3

GROUP

43

149

12.7

1

GROUP

32

150

19.4

0

GROUP

43

150

17.4

3

GROUP

46

150

20.7

2

GROUP

41

151

18.0

1

NONE

43

151

14.3

1

GROUP

44

151

15.2

2

GROUP

43

152

17.2

1

GROUP

44

152

16.0

2

ONLINE

43

153

13.2

3

GROUP

46

153

22.0

0

ONLINE

40

154

16.4

3

GROUP

41

154

14.5

4

NONE

43

154

15.3

1

ONLINE

43

155

11.2

3

ONLINE

42

156

18.6

2

GROUP

43

156

20.5

2

ONLINE

45

157

16.3

4

ONLINE

46

157

19.3

2

ONLINE

44

158

13.9

1

GROUP

44

158

11.8

3

ONLINE

42

159

13.6

4

GROUP

48

160

15.8

2

ONLINE

46

161

13.2

3

GROUP

46

162

15.7

3

NONE

47

162

16.4

3

ONLINE

43

163

11.7

1

GROUP

45

164

17.2

3

ONLINE

44

165

17.4

3

ONLINE

44

165

15.0

0

ONLINE

44

165

19.2

2

NONE

45

166

19.5

5

NONE

45

167

14.5

4

GROUP

46

167

10.1

0

ONLINE

46

167

14.8

1

ONLINE

46

167

15.8

0

ONLINE

48

168

12.3

5

ONLINE

48

168

15.9

5

ONLINE

46

169

14.8

3

GROUP

48

170

12.1

1

ONLINE

45

171

19.4

2

ONLINE

47

171

17.3

2

ONLINE

45

172

12.6

3

GROUP

50

173

13.3

1

ONLINE

49

174

18.3

0

ONLINE

45

175

18.3

2

GROUP

47

175

13.9

2

GROUP

50

175

15.1

3

ONLINE

51

175

12.0

2

ONLINE

54

175

14.2

1

ONLINE

44

177

15.3

3

ONLINE

48

178

12.6

4

ONLINE

50

179

12.8

3

ONLINE

46

180

15.1

4

NONE

49

181

12.4

2

ONLINE

51

181

11.4

4

GROUP

51

182

17.9

2

ONLINE

47

183

13.0

3

ONLINE

50

183

11.7

1

GROUP

47

185

15.2

2

ONLINE

50

185

16.4

0

ONLINE

46

186

14.1

3

GROUP

49

186

17.5

1

GROUP

53

188

11.0

2

ONLINE

46

189

20.0

1

GROUP

52

190

13.2

3

ONLINE

49

191

13.1

2

GROUP

54

195

15.2

2

ONLINE

51

198

13.0

1

ONLINE

Regression Analysis Results

This section presents a statistical summary of the regression analysis using the following variables:

Dependent variable: SALES (everyone must select this variable) Independent variable: CALLS (everyone must select this variable)

Use the table below to answer the questions in the COURSE PROJECT OVERVIEW. If there is a difference in the way the questions are presented in the table and in the COURSE PROJECT OVERVIEW, please answer the questions as they are presented in the table below.

To get the numbers for this table, use the Week 6 Excel spreadsheet calculator in the shell. To get an understanding of the interpretations, please see the lecture notes and videos.

1. Scatter Plot

Use Excel OR another software package to create a scatter plot. Copy and paste the scatter plot. Make sure the dependent variable is on the Y-axis and the independent variable is on the X-axis. The axis should show the names of the variables.

2. Regression Equation

Put the regression equation here.

3. Coefficient of Correlation

Give the value of the coefficient of coefficient. Explain the type and strength of the correlation.

4. Coefficient of Determination

Give the value of the coefficient of determination. Interpret its value.

5. Results of the Hypothesis Test for Ho: B1 = 0 Ha: B1 0

p-value: put the p-value

Result of test: Explain whether you will reject not reject Ho.

NOTE: For the hypothesis test use significance level of .05.

6. Interpretation of the result of the hypothesis test above

Is the regression model (regression equation) significant in predicting the dependent variable? Why?

7. 95% confidence interval for B1

8. A. How many sales can we expect (estimate) for a sales person who made 140 calls?

B. What is the 99% confidence interval for the number sales estimated above.

Estimated amount sales: Put the predicted value of SALES here. I am requesting everyone to use 140 calls. However, if you already did the assignment and used a different variable, that is ok. Just put your answer here and indicate that you used a different variable.

Confidence interval for estimated amount of sales:

9. 99% prediction interval for the number sales estimated above

Prediction interval for estimated sales:

10. Not required

Not required

Identify and describe TWO business decisions that could be made based on the results of this analysis. In other words, how might the business operations change based on these statistical results. Write one paragraph for each decision. Incorporate the results of the your findings from section 2, but do not use technical jargon - use plain business language.

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