From the parameter estimation output, which of the following is FALSE?

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From the parameter estimation output, which of the following is FALSE?
Coefficients Standard Error
t Stat
p-value
0.783
0.0159
Intercept
Diameter (mm) of
granules of sand
-2.476
-3.161
17.159
2.034
8.438
0.000065
For a one-unit increase in the independent variable, the predicted-y is decrease by –
2.476.
The independent variable is significant.
For a one-unit increase in the independent variable, the predicted-y is increase by
17.159.
The predictor variable is significant.
Transcribed Image Text:From the parameter estimation output, which of the following is FALSE? Coefficients Standard Error t Stat p-value 0.783 0.0159 Intercept Diameter (mm) of granules of sand -2.476 -3.161 17.159 2.034 8.438 0.000065 For a one-unit increase in the independent variable, the predicted-y is decrease by – 2.476. The independent variable is significant. For a one-unit increase in the independent variable, the predicted-y is increase by 17.159. The predictor variable is significant.
You know that sum of squares error (SSE) is 375, hence which of the
following must be TRUE?
sum of squares regression (SSR) at least 375.
Correlation coefficient can be negative or positive.
the proportion of unexplained variation can be equal to one.
Total sum of squares (SST) can be less than SSE.
Transcribed Image Text:You know that sum of squares error (SSE) is 375, hence which of the following must be TRUE? sum of squares regression (SSR) at least 375. Correlation coefficient can be negative or positive. the proportion of unexplained variation can be equal to one. Total sum of squares (SST) can be less than SSE.
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