Regression with data
x |
y |
x-xmean |
(x-xmean)2 |
y-ymean |
(y-ymean)2 |
(x-xmean) (y-ymean) |
|
15 |
27 |
1.00 |
1.00 |
6.25 |
39.06 |
6.25 |
|
11 |
12 |
-3.00 |
9.00 |
-8.75 |
76.56 |
26.25 |
|
14 |
18 |
0.00 |
0.00 |
-2.75 |
7.56 |
0.00 |
|
12 |
21 |
-2.00 |
4.00 |
0.25 |
0.06 |
-0.50 |
|
20 |
28 |
6.00 |
36.00 |
7.25 |
52.56 |
43.50 |
|
11 |
17 |
-3.00 |
9.00 |
-3.75 |
14.06 |
11.25 |
|
13 |
29 |
-1.00 |
1.00 |
8.25 |
68.06 |
-8.25 |
|
10 |
7 |
-4.00 |
16.00 |
-13.75 |
189.06 |
55.00 |
|
16 |
22 |
2.00 |
4.00 |
1.25 |
1.56 |
2.50 |
|
15 |
24 |
1.00 |
1.00 |
3.25 |
10.56 |
3.25 |
|
17 |
34 |
3.00 |
9.00 |
13.25 |
175.56 |
39.75 |
|
14 |
10 |
0.00 |
0.00 |
-10.75 |
115.56 |
0.00 |
|
SUM |
168 |
249 |
90 |
750.25 |
179 |
||
Mean |
14 |
20.75 |
|||||
Std. Dev. |
2.86 |
8.26 |
r = |
0.689 |
|||
n |
12 |
12 |
r = |
0.689 |
|||
Regression Directions:
Using the above table, work out the following:
from above:
a)
r =0.6889
b) b=1.9889
c)a =-7.0944
d)y=-7.0944+1.9889x
e) for x=5,predicted value =-7.0944+1.9889*5=2.85
for x=15,predicted value =-7.0944+1.9889*15=22.74
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