Sr # Tempera (Number of Air (Degrees Conditio Outside Sales X(outsid Y(sales) X*2 Y*2 Y=-5 e ture tempera ture) F) ning units sold) 68 68 4624 204 1.636 72 72 5184 25 360 4.883 78 3. 78 6084 49 546 9.754 81 12 4 81 12 6561 144 972 12.19 84 15 84 15 7056 225 1260 14.62 86 16 86 16 7396 256 1376 16.25 89 22 89 22 7921 484 1958 18.68 91 18 8 91 18 8281 324 1638 20.31 93 19 93 19 8649 361 1767 21.93 94 26 10 94 26 8836 676 2444 22.74 836 143 7059 2553 12525 143 sum Y= Plot a scatter diagram for the data provided on the table above and the linear regression line calculated in topic (b), Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) 57 1. 2. 56
Sr # Tempera (Number of Air (Degrees Conditio Outside Sales X(outsid Y(sales) X*2 Y*2 Y=-5 e ture tempera ture) F) ning units sold) 68 68 4624 204 1.636 72 72 5184 25 360 4.883 78 3. 78 6084 49 546 9.754 81 12 4 81 12 6561 144 972 12.19 84 15 84 15 7056 225 1260 14.62 86 16 86 16 7396 256 1376 16.25 89 22 89 22 7921 484 1958 18.68 91 18 8 91 18 8281 324 1638 20.31 93 19 93 19 8649 361 1767 21.93 94 26 10 94 26 8836 676 2444 22.74 836 143 7059 2553 12525 143 sum Y= Plot a scatter diagram for the data provided on the table above and the linear regression line calculated in topic (b), Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) 57 1. 2. 56
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Outside
Sr #
Tempera (Number
Sales
X(outsid
Y(sales)
X*2
Y*2
Y=-5
e
ture
of Air
tempera
(Degrees Conditio
ture)
F)
ning
units
sold)
68
3
68
3
4624
204
1.636
72
72
5
5184
25
360
4.883
78
7
3
78
7.
6084
49
546
9.754
81
12
4
81
12
6561
144
972
12.19
84
15
84
15
7056
225
1260
14.62
86
16
6
86
16
7396
256
1376
16.25
89
22
89
22
7921
484
1958
18.68
91
18
91
18
8281
324
1638
20.31
93
19
9
93
19
8649
361
1767
21.93
94
26
10
94
26
8836
676
2444
22.74
836
143
7059
2553
12525
143
sum
Y=
Plot a scatter diagram for the data provided on the table above and the linear regression line calculated
in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F)
rds
English (U.S.)
Text Predictions: On
acer
Transcribed Image Text:91
18
8281
324
1638
Reuse Files
20.31
93
19
6.
93
19
8649
361
1767
21.93
94
26
10
94
26
8836
676
2444
22.74
sum
836
143
7059
2553
12525
143
Y=
Plot a scatter diagram for the data provided on the table above and the linear regression line calculated
in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F)
Perform the linear regression calculation and provide the linear regression equation that describes the
relationship between Y (number of air conditioning units sold) and X (outside temperature in degrees
Fahrenheit.
Calculate SST, SSE and SSR for this linear regression
Calculate the coefficient of determination (r 2 ) and the coefficient of correlation (r).
Using the linear regression equation that you developed in topic (b), calculate the estimated sales for a
day that will reach 84 degrees F and for a day that will reach 94 F and for both temperature levels
calculate the error "e" when comparing the estimated value against the actual data provided. At which
of the two temperatures, is your model more accurate? Explain.
Calculate an estimate for the variance (o 2) and the standard deviation for the linear regression' model
you have developed.
redictions: On
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