Given data set is as below :
X 2 4 6 8 10 12
Y 50 53 56 58 58
We are to fit a regression line to fit Y on X.
The regression equation will be of the form ,
y = a+bx
where a and b are to be estimated such that it minimises the sum of squares due to error.
The values of a and b thus obtained by using regression model in MINITAB (equivalent to any other package like StatKey) are:
a= 51.55
b= 0.624
Hence,
Y = 51.55 + 0.624 X
/courses/14884/assignments/1201361 ents> Shi Spring2019 (ch2.6) HW4 shi Spring2019 (ch2.6) HW4 Send to Gradebook Question 4 Use...
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Please answer the whole question, I need them all
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TAMPALMS.txt (1.292 KB)
Property Market_Val Sale_Price
1 181.44 382.0
2 191.00 230.0
3 159.83 220.0
4 189.22 277.0
5 151.61 205.0
6 166.40 250.0
7 157.09 235.0
8 211.74 284.0
9 146.45 247.7
10 131.80 159.0
11 131.05 200.0
12 191.98 285.0
13 138.85 170.0
14 147.95 215.0
15 121.98 149.0
16 113.08 165.0
17 138.02 205.0
18 162.65 262.5
19 ...
Game
Point_Differential Assists
Rebounds Turnovers Personal_Fouls
1 15 15 38
11 9
2 36 20 43
8 13
3 16 21 29
7 13
4 45 22 46
11 11
5 12 11 40
7 22
6 -10 10 31
13 26
7 11 19 45
11 7
8 12 16 32
16 14
9 3 16 27
18 15
10 19 9 34
17 17
11 40 16 41
9 17
12 44 12 29
9 22
13 16 ...