find a linear (regression) equation with following data.
Answer y= ( ) + ( )* x
(X, Y)
(30, 12)
(40, 20)
(50, 24)
(60, 38)
(70, 40)
Solution:
Linear regression equation can be calculated as
Y = a +b*X
Here a is the intercept of the regression line and b is the slope
of regression line
slope and intercept can be calculated as
X |
Y |
X^2 |
Y^2 |
XY |
30 |
12 |
900 |
144 |
360 |
40 |
20 |
1600 |
400 |
800 |
50 |
24 |
2500 |
576 |
1200 |
60 |
38 |
3600 |
1444 |
2280 |
70 |
40 |
4900 |
1600 |
2800 |
250 |
134 |
13500 |
4164 |
7440 |
Slope =
(n*Summation(XY)-Summation(X)*Summation(Y))/(n*summation(X^2)-(Summation(X))^2)
= (5*7440 - 250*134)/(5*13500-250*250) = 0.74
Intercept can be calculated as
Intercept = (Summation(Y) - b*Summation(X))/n = (134-0.74*250)/5 =
134-185)/5 = -10.2
So regression equation is
Y = - 10.2 + 0.74*X
find a linear (regression) equation with following data. Answer y= ( ) + ( )* x...
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