Bin Inc. collected data representing sales in (millions of dollars) of a new facet for the first three weeks (Monday to Friday) of business activity. The company wants to use the partial Excel Summary Output and the Time Series data below to develop a regression equation and use seasonal indexes to estimate their sales. Note: time period (t=1, 2, 3……..)← < Coefficients Standard Error t Stat Intercept 86.9 3.266131055 26.6136931 0.393 0.359226522 1.093619536 < Day Sales Week 1 M< 85 T 89 We 83 T 95 7 17 17 77 F 97 心 2 Week 2 Me 84 T 88 We 83 T< 97 77 7 77 F< 99 1 17 Week 3 | Me 86 ཀླུ|" T< 88 We 84< 7 17 77 T F 95 < 98 7 17 P-value Lower 95% Upper 95% 1.00685E-12 79.86776236 93.97985668 0.293972677 -0.383204577 1.168918862 Y/ŷ 0.974 1.015 < 0.942 1.074 1.073 1.090 0.943 0.961 0.913 1.028 2 1.056 2

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 1TI: Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use...
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  1. Calculate the seasonal indexes to three decimal places, show your calculations. 
  2. Forecast the sales on Friday of week 4. 
  3.  
Bin Inc. collected data representing sales in (millions of dollars) of a new facet for the first three
weeks (Monday to Friday) of business activity. The company wants to use the partial Excel
Summary Output and the Time Series data below to develop a regression equation and use
seasonal indexes to estimate their sales. Note: time period (t=1, 2, 3……..)←
<
Coefficients
Standard Error
t Stat
Intercept
86.9
3.266131055
26.6136931
0.393
0.359226522 1.093619536
<
Day
Sales
Week 1 M<
85
T
89
We
83
T
95
7
17
17
77
F
97
心
2
Week 2 Me
84
T
88
We
83
T<
97
77
7
77
F<
99
1
17
Week 3 | Me
86
ཀླུ|"
T<
88
We
84<
7
17
77
T
F
95
<
98
7
17
P-value
Lower 95%
Upper 95%
1.00685E-12
79.86776236 93.97985668
0.293972677 -0.383204577 1.168918862
Y/ŷ
0.974
1.015
<
0.942
1.074
1.073
1.090
0.943
0.961
0.913
1.028
2
1.056
2
Transcribed Image Text:Bin Inc. collected data representing sales in (millions of dollars) of a new facet for the first three weeks (Monday to Friday) of business activity. The company wants to use the partial Excel Summary Output and the Time Series data below to develop a regression equation and use seasonal indexes to estimate their sales. Note: time period (t=1, 2, 3……..)← < Coefficients Standard Error t Stat Intercept 86.9 3.266131055 26.6136931 0.393 0.359226522 1.093619536 < Day Sales Week 1 M< 85 T 89 We 83 T 95 7 17 17 77 F 97 心 2 Week 2 Me 84 T 88 We 83 T< 97 77 7 77 F< 99 1 17 Week 3 | Me 86 ཀླུ|" T< 88 We 84< 7 17 77 T F 95 < 98 7 17 P-value Lower 95% Upper 95% 1.00685E-12 79.86776236 93.97985668 0.293972677 -0.383204577 1.168918862 Y/ŷ 0.974 1.015 < 0.942 1.074 1.073 1.090 0.943 0.961 0.913 1.028 2 1.056 2
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