The regression equation and the standard error of estimate The...

Question

# The regression equation and the standard error of estimate The...

The regression equation and the standard error of estimate The following scores represent the decrease in symptom intensity (on a 10-point scale) following the new nutrition therapy.

1. Calculate the sum of the products and the sum of squares for X. SP = ________ and SSX = ________

2. Find the regression line for predicting Y given X. The slope of the regression line is ________ and the Y intercept is ________

3. Calculate the Pearson correlation coefficient, the predicted variability, and the unpredicted variability. The Pearson correlation is r = ________ . The predicted variability is SSregression = ________ . The unpredicted variability is SSresidual = ________ .

4. Calculate the standard error of the estimate. The standard error of the estimate is ________ .

5. Suppose you want to predict the pain score for a new patient. The only information given is that this new patient is similar to patients A through E; therefore, your best guess for the new patient's level of pain is ________ . The error associated with this guess (that is, the "standard" amount your guess will be away from the true value) is ________ .

6. Suppose that now you are told the depression score for this new patient is 5.5. Now your best guess for the new patient's level of pain is ________ . The error associated with this guess (that is, the "standard" amount your guess will be away from the true value) is .

7. Finally, suppose before estimating the regression equation, you first transform each of the original scores into a z-score. The regression equation you estimate is: ________

Solved by verified expert

sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante, dapibus a molestie consequat, ultrices ac magna. Fusce dui lectus, congue vel laoreet ac, dictum vitae odio. Donec aliquet. Lorem ipsum dolor sit amet, consectetur adipiscing

10,000 step-by-step explanations

<p>sectetur adipiscing eli</p>sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante, dapibus a molestie consequat, ultrices ac magna. Fusce dui lectus, congue vel laoreet ac, dictum vitae odio. Donec aliquet. Lorem ipsum dolor sit amet, consectetur adipiscing

## Step-by-step explanation

sectetur

sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efsecsectetur adipiscing elit. Nam lsecsectetu

sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante, dapibus a molestisectetsectetur adipiscing elit. Nam lacinia pusectetur asectesectetsectetur adipiscing elit. Nam lacinia pulsectetursectsectetusectetur

sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibsectetursectetu

sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante, dapibus a molestie consequat, ultrices ac magna. Fusce dui lectus, congue vel laoreet ac, dictumsecsectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante,sectetussectets

sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante, dapibus a molestiesecsectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante,

sectetur adipiscing elit. Nam lacinia pulvinar tortor nec facilisis. Pellentesque dapibus efficitur laoreet. Nam risus ante, dapibus a molestie consequat, ultrices ac magna.sssectetur adipisssectes

6 attachments
PNG
PNG
PNG
PNG
PNG
PNG