(A)here we use standard normal variate z=(x-mean)/sd
for x=73, z=(x-mean)/sd=(73-70)/5=0.6
P(X>73)=P(Z>0.6)=1-P(Z<0.6)=1-0.7257=0.2743=27.43%
required number=n*P(X>73)=3000*0.2743=823
(B) here we use simple linear regression y(height)=a+b*x(weight)=-624+11.2*x
b=r*sd(y)/sd(x)=0.8*5/25=0.16
a=mean(y)-b*mean(x)=70-160*0.16=44.4
for x=210, y=44.4+0.16*210=78
(C) original data is needed
(D)original data is needed
(E)answer is 4
here we use simple linear regression x(weight)=a+b*y(height)
slope b=r*sd(x)/sd(y)=0.8*25/5=4
slope is the change in dependent variable with unit change in independent variable
10 8 each]Problem 3 For a certain group of 3,000 slender men, the correlation between height...
A sample of 10 adult men gave the following data on their heights and weights. Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 120 140 130 150 142 130 135 175 149 168 a. Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. b. State the equation of...
A sample of 10 adult men gave the following data on their heights and weights. Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 120 140 130 150 142 130 135 175 149 168 (2 points) Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. The X is the...