according to table in the image answer the following? Using "Least Squares Method", "b" the slope of the regression line is equal to * 19.9 1.99 4.102 None of the answers. 1.204   "a" y-axis intercept is equal to * None of the answers. 83.513 38.518 26.40 62.04   ? ̂ equation is written as: * 48.518 + 4.102X 62.04 + 1.99X 6.04 + 10.7X None of the answers. 38.518 + 1.204X   The forecast of the "first month" of next year is equal to * 89.88 87.95 78.92 None of the answers. 91.99   The forecast of the "second month" of next year is equal to * 68.51 89.9 98.88 56.12 None of the answers.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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according to table in the image answer the following?

Using "Least Squares Method", "b" the slope of the regression line is equal to *
19.9
1.99
4.102
None of the answers.
1.204
 
"a" y-axis intercept is equal to *
None of the answers.
83.513
38.518
26.40
62.04
 
? ̂ equation is written as: *
48.518 + 4.102X
62.04 + 1.99X
6.04 + 10.7X
None of the answers.
38.518 + 1.204X
 
The forecast of the "first month" of next year is equal to *
89.88
87.95
78.92
None of the answers.
91.99
 
The forecast of the "second month" of next year is equal to *
68.51
89.9
98.88
56.12
None of the answers.
Tech manufacturing company purchases small, imported electric appliances in bulk,
packages them, and sells them to retail stores. The managers are conducting an
inventory control study of all their items. The following data are for one such item,
which is not seasonal.
1
2
4
5
6 7
8
10
11
12
Jan Feb
Oct
Mar
74
Apr
76
May Jun Jul Aug
60
Month
Sep
Nov
Dec
Sales
50
65
87
76
96
77
98
58
83
Transcribed Image Text:Tech manufacturing company purchases small, imported electric appliances in bulk, packages them, and sells them to retail stores. The managers are conducting an inventory control study of all their items. The following data are for one such item, which is not seasonal. 1 2 4 5 6 7 8 10 11 12 Jan Feb Oct Mar 74 Apr 76 May Jun Jul Aug 60 Month Sep Nov Dec Sales 50 65 87 76 96 77 98 58 83
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