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if the val of the samp. coeff of correlation is neg, the estimated slope parameter must...

if the val of the samp. coeff of correlation is neg, the estimated slope parameter must be positve. T or F

The total sum of square(s) in a regresssion mod will neverr exceed the regresssion sum of squares T or F

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Answer #1

1) False

Slope represents the direction of the regression equation line, if it is positive then association between the variables is also positive. If slope is negative then there is negative correlation exists between the variables.

2) False

SST = SST + SSE

Total sum of square = regression sum of square + error sum of square

Since total sum of square is addition of regression sum of square and error sum of square , it obvious that it is greater than regression sum of square.

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