1.Which unadjusted predictor (not including intercept terms) has the highest standard error?

a.bmcat Underweight

b.SEX MALE

c.AGE

d.TOTCHOL

e.HEARTRTE

f.AGE*SEX MALE

g.bmicat Obese

h.bmicat Overweight

i.GLUCOSE j.BMI

2.Which of the predictors are not significant at the 0.05 level of significance?(If you think it's more than one state your reason)

a.AGE*SEX Male

b.SEX Male

c.BMI

d.bmicat Underweight

e.TOTCHOL

f.bmicat Overweight

g.GLUCOSE

h.HEARTRTE

i.AGE j.bmicat Obese

3.What is the parameter estimate for SEX Male in the model with AGE SEX AGE*SEX (round to 4 decimal places)?

The GLM Procedure Dependent Variable: LNSBP Natural Logarithm of SYSBP Standard Parameter Estimate Error t Value Pr > Itl 95% Confidence Limits Intercept 4.771558405 0.02326003 205.14 <.0001 heartrte the glm procedure dependent variable: lnsbp natural logarithm of sysbp standard parameter estimate error t value pr> It 95% Confidence Limits Intercept 4.845035864 0.01155082 419.45 <.0001 glucose the glm procedure dependent variable: lnsbp natural logarithm of sysbp standard parameter estimate error t value pr="14" confidence limits intercept b age sex male female bthe> It| 95% Confidence Limits Intercept 4.812685589 0.01988144 242.07 <.0001 totchol the glm procedure dependent variable: lnsbp natural logarithm of sysbp standard parameter estimate error t value pr> It 95% Confidence Limits Intercept 4.710512150 0.02418826 184.74 4.0001 4.683072106 4.757952194 BMI 0.008218534 0.00092787 8.80 <.0001 the glm procedure dependent variable: lnsbp natural logarithm of sysbp standard parameter estimate error t value pr> It| 95% Confidence Limits Intercept 4.802058478 B 0.00542253 802.34 <.0001 bmigroups obese b overweight underweight normal>