T/F explain plz 1) There are usually several possible regression lines that will
ID: 3318726 • Letter: T
Question
T/F explain plz
1) There are usually several possible regression lines that will minimize the sum of squared errors.
2) A sample correlation r = .40 indicates a stronger linear relationship than r = -.60.
3) Omission of a relevant predictor is a common source of model misspecification.
4) The regression line must pass through the origin.
5) The y-intercept in a regression has little meaning if no data values near X = 0 have been observed.
6) In least-squares regression, the residuals e1, e2, . . . , en will not always have a sum of zero.
7) The correlation coefficient r measures the strength of the linear relationship between two variables.
Explanation / Answer
1)
The is only one least square regression line that will minimize the sum of squared errors.
Answer: true
2)
NO, |0.40| < |0.60| so r = .40 indicates a weaker linear relationship than r = -.60.
3)
True
4)
It is not necessary that regression line pass through origin. It enterily depends upon data.
False
5)
Yes true.
6)
The residual always have sum zero.
False
7)
True
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