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Hello guys,
A regression is a statistical analysis assessing the association between two variables. It is used to find the relationship between two variables.
This is given data set
X Values Y Values
60 3.1
61 3.6
62 3.8
63 4
65 4.1
This is regression eq of x = 64
Regression Equation(y) = a + bx
= -8.098 + 0.19(64).
= -8.098 + 12.16
= 4.06
y = 4.06 for x = 64 . What does it meant ?
How is it saying that data is strongly related or different ?
Can some one please explain this .
Thanks
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hi tina123
When you have x and y data, the regression line calculation tells you how you can estimate y given x.
It does not tell you how reliable that estimate might be.
To say that, you need to calculate the correlation coefficient from the x and y pairs.
the calculation is similar to the line calculation and will give a number between -1 and + 1.
coefficient = r = 0 would mean there is no relationship whatsoever.
In this case you would still be able to calculate the regression line, but it would be meaningless.
If r = 1, the correlation is perfect and the line would tell you a new y exactly from an x.
More if you want to post back.
Bob
Children are not defined by school ...........The Fonz
You cannot teach a man anything; you can only help him find it within himself..........Galileo Galilei
Sometimes I deliberately make mistakes, just to test you! …………….Bob
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hi again,
I have used Excel to calculate the line and I get
y = -7.96351 + 0.18783x
This makes y = 4.0581
The correlation coefficient is r = 0.91187 which is very high, so you may safely conclude that the y estimate is good.
Bob
Children are not defined by school ...........The Fonz
You cannot teach a man anything; you can only help him find it within himself..........Galileo Galilei
Sometimes I deliberately make mistakes, just to test you! …………….Bob
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