(a) What is the value of the standard error of the estimate? The standard error for the estimate is used in tests for a significant relationship between two variables. It is calculated as follows, where MSE is the mean square error Note that HSE is calculated using the sum of squares due to error and the number of observations * = √MSE 556 n-2 where SSE- Therefore, before the standard error can be found we must find the estimated regression equation for the given data, then calculate the predicted values of, to find the SSE. The data are givere below. x 4512 17 22 y, 19 27 15 34 29 There are 5 observations in the data, so we have no Wind the estimated regression equation for these data using the least squares method. 2 19210

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(a) What is the value of the standard error of the estimate?
The standard error for the estimate is used in tests for a significant relationship between two variables. It is calculated as follows, where MSE is the mean square erroc hote that HSE is calculated
using the sum of squares due to error and the number of observations.
SVMSE
SSE
where SSE-
Therefore, before the standard error can be found we must find the estimated regression equation for the given data, then calculate the predicted values of 9, to find the SSE. The data are givere
below.
*4512 17 22
y, 19 27 15 34 29
There are 5 observations in the data, so we have n-6
Find the estimated regression equation for these data using the least squares method.
P-19.20.5
Transcribed Image Text:(a) What is the value of the standard error of the estimate? The standard error for the estimate is used in tests for a significant relationship between two variables. It is calculated as follows, where MSE is the mean square erroc hote that HSE is calculated using the sum of squares due to error and the number of observations. SVMSE SSE where SSE- Therefore, before the standard error can be found we must find the estimated regression equation for the given data, then calculate the predicted values of 9, to find the SSE. The data are givere below. *4512 17 22 y, 19 27 15 34 29 There are 5 observations in the data, so we have n-6 Find the estimated regression equation for these data using the least squares method. P-19.20.5
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