A local hospital conducted a study to predict Stroke Risk (y…

A local hospital conducted a study to predict Stroke Risk (y-variable) based on the following x-variables: Age, Weight, and Smoker (1=smokes, 0=does not smoke). Multiple regression results from Excel are shown below. Regression Statistics Multiple R 0.82 R Square 0.67 Adjusted R Square 0.58 Standard Error 9.57 Observations 20 ANOVA   df SS MS F-stat p-value Regression 4 2815.81 703.95 7.68 0.001 Residual 15 1375.14 91.68 Total 19 4190.95         Coefficients Standard Error t Stat P-value Intercept -48.90 37.55 -1.30 0.213 Age 0.59 0.33 1.78 0.096 Weight -0.07 0.07 -1.08 0.296 Smoker 17.09 4.74 3.61 0.003 RESIDUAL OUTPUT Patient # Predicted Risk Residuals 1 8.8 -5.8 2 21.3 -13.3 3 14.4 -2.4 4 10.2 2.8 5 16.7 -1.7   Question: What does the residual value for Patient #2 indicate. Be as specific as you can.

As we have learned in lab, the beta values of transistors va…

As we have learned in lab, the beta values of transistors vary drastically from one transistor to the next. This makes it difficult to bias a transistor to a repeatable stable condition or Q point across all transistors that might be swapped out for the original. What is the solution to this?

A local hospital conducted a study to predict Stroke Risk (y…

A local hospital conducted a study to predict Stroke Risk (y-variable) based on the following x-variables: Age, Weight, and Smoker (1=smokes, 0=does not smoke). Multiple regression results from Excel are shown below. Regression Statistics Multiple R 0.82 R Square 0.67 Adjusted R Square 0.58 Standard Error 9.57 Observations 20 ANOVA   df SS MS F-stat p-value Regression 3 2815.81 703.95 7.68 0.001 Residual 15 1375.14 91.68 Total 18 4190.95         Coefficients Standard Error t Stat P-value Intercept -48.90 37.55 -1.30 0.213 Age 0.27 0.10 2.72 0.016 Weight -0.07 0.07 -1.08 0.296 Smoker 17.09 4.74 3.61 0.003 RESIDUAL OUTPUT Observation Predicted Risk Residuals 1 8.8 -5.8 2 21.3 -13.3 3 14.4 -2.4 4 10.2 2.8 5 16.7 -1.7    Question:  Interpret (precisely) the coefficient on Age in the regression model above.

What classification of amplifier is this? What is its conduc…

What classification of amplifier is this? What is its conduction angle? How good is its linearity compared to the other classifications? How good is its efficiency compared to the other classifications? What would be the most ideal input impedance for this circuit? (Assuming impedance matching not important) What would be the most ideal output impedance for this circuit? (Assuming impedance matching not important)