From the previous assignment, #12, the following table that lists pulse rates (bpm), systolic blood pressures (mm Hg), and diastolic blood pressures (mm Hg) of adult males were used.

PULSESYSTOLICDIASTOLIC

8812871

7110668

8313275

8010866

6616075

679854

7215891

7611472

9412469

7411676

6210461

9612870

A simple linear regression analysis was performed for the variables Systolic and Diastolic.The desire is to predict diastolic pressure based on someone's systolic pressure.The following regression analysis output from Excel was generated.Answer the following 4 questions, A through D, based on the data and output.Your numerical answers need not be rounded.

PART A. (3 points)

Write the regression equation by identifying the estimates and appropriate variables in y-hat = b0+ b1x1.Then, interpret the regression coefficients.

Regression Equation:

b0Interpretation:

b1Interpretation:

PART B. (3 points)

What is the variance, the coefficient of determination and the result of the hypothesistest of the model?

Variance: _____

Coefficient of determination: _____

Hypothesis test result: ______

Choose to Reject / Fail to Reject the model: ______

PART C. (3 points)

Now that we have the results for the regression model, we'd like to see the prediction interval for a male who has a high-normal systolic pressure of 121 mm Hg.Using a significance level of 1%, what is the prediction interval for this level of systolic pressure?As well, provide some of the components involved in calculating theprediction interval.

y0prediction: _____

Standard error of the prediction interval, SEy: _____

Critical t-score: _____

Lower Prediction Interval: _____

Upper Prediction Interval: _____

PART D. (2 points)

Identify the 95% confidence intervals for each of the regression coefficients.

Lower Limit for b0: ______

Upper Limit for b0: ______

Lower Limit for b1: ______

Upper Limit for b1: ______