excel spreadsheet and need the explanation and answer to help me learn.

2-Factor Model

What proportion of the variation of probability (x100) does the 2 chosen risk factors (age, blood pressure) explain in your model?

Enter your result as a percentage rounded to 2 decimal places and omit the % symbol. (0.88888 is entered as 88.89)

2-Factor Model

What is the adjusted coefficient of determination for this model?

Enter your result as a percentage rounded to 2 decimal places and omit the % symbol. (0.88888 is entered as 88.89)

2-Factor Model

What is the total square error of this regression model? (SSE in assigned reading, SS of Residual in ANOVA block of report !!)

Given the magnitudes, enter your result rounded to the nearest whole number.

2-Factor Model

What is b1 in your results? (The age coefficient)

Enter your result rounded to 4 decimal places.

3-Factor Model

What proportion of the variation of probability (x100) does the 3 chosen risk factors (age, blood pressure, smoking status) explain in your model?

Enter your result as a percentage rounded to 2 decimal places and omit the % symbol. (0.88888 is entered as 88.89)

3-Factor Model

What is the adjusted coefficient of determination for this model?

Enter your result as a percentage rounded to 2 decimal places and omit the % symbol. (0.88888 is entered as 88.89)

3-Factor Model

What is the total square error of this regression model? (SSE in assigned reading, SS of Residual in ANOVA block of report !!)

Given the magnitudes, enter your result rounded to the nearest whole number.

3-Factor Model

What is b1 in your results? (The age coefficient)

Enter your result rounded to 4 decimal places.

COMPARATIVE ANALYSIS

Compare the summary results of the model with 2 risk factors and the 3 risk factor model with the addition of the smoking parameter.

Complete the statement below that accurately describe the results.

Based on the summary results, the coefficient of determination —increased remain unchanged better worse decreased AND the adjusted coefficient of determination —increased remain unchanged better worse decreased, so including the history of smoking results in —increased remain unchanged better worse decreased predictions.

3-Factor Model

Based on your regression report, determine the risk score (probability x 100 as per the original data) for a patient who smokes at age 72 with a systolic blood pressure of 100.

Round your result to one decimal place, if applicable.

3-Factor Model

Based on your regression report, determine the risk score (probability x 100 as per the original data) for a patient who does NOT smoke at age 73 with a systolic blood pressure of 185.

Round your result to one decimal place, if applicable.

3-Factor Model

Based on the standard error, upper & lower 95 percentiles, and P-value (alpha of 5%) for the intercept, there is —virtually noa high100%a low possibility (probability) that the intercept is zero in the true population.

3-Factor Model

Based on the regression report, which risk factors are statistically significant based on a 5.0% level of significance with this data set? Select all that apply.

A.

Intercept

B.

Age

C.

Systolic Blood Pressure

D.

Smoker vs non smoker.

3-Factor Model

Another researcher wants to be more conservative. Based on the regression report, which risk factors are statistically significant based on a 1.0% level of significance? Select all that apply.

A.

Intercept

B.

Age

C.

Systolic Blood Pressure

D.

Smoker vs non smoker.

3-Factor Model

Refer to Age and Systolic Pressure line fit plots on the regression reports for interpretation. Complete the statement below so it makes sense and describes the charts.

There appears to be a —positive none both negative correlation between the risk factor(s) and stroke probability with regards to —positive none both negative chart(s).

3-Factor Model

Refer to Age and Systolic Pressure residual plots on the regression reports for interpretation. Complete the statements below so it makes sense and describes the charts.

The residuals appear to be randomly abnormal normal uniform independence, mean, normally distributed independence normality scattered around with a mean of zero and with magnitudes following a randomly abnormal normal uniform independence, mean, normally distributed independence normality distribution.

So this is consistent with the randomly abnormal normal uniform independence, mean, normally distributed independence normality requirements to infer the results based on this sample to the general population.

3-Factor Model

Refer to the normal probability plot.

The chart supports the normally distributed requirement for good inference (to the general population based on this sample data set).

True

False

3-Factor Model

Assume that this 3-Factor model is representative of the general population. Which patient (observation number) represents the lowest relative risk (relative to the projected)? (Refer to the residuals in the residual table.)

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