Intensity of light was varied for five equal intervals (X) and its effect was observed on a dependent variable (Y). Find out the equa- tion for the best fitting curve by the method of least squares. 'Y 1 6 10 12 18 22 N34 5
Intensity of light was varied for five equal intervals (X) and its effect was observed on a dependent variable (Y). Find out the equa- tion for the best fitting curve by the method of least squares. 'Y 1 6 10 12 18 22 N34 5
Intensity of light was varied for five equal intervals (X) and its effect was observed on a dependent variable (Y). Find out the equa- tion for the best fitting curve by the method of least squares. 'Y 1 6 10 12 18 22 N34 5
Transcribed Image Text:Intensity of light was varied for five equal intervals (X) and its
effect was observed on a dependent variable (Y). Find out the equa-
tion for the best fitting curve by the method of least squares.
'Y
1
6
10
12
18
22
N 34 5
Definition Definition Statistical method that estimates the relationship between a dependent variable and one or more independent variables. In regression analysis, dependent variables are called outcome variables and independent variables are called predictors.
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