In: Statistics and Probability
Let x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be a random variable that represents the percentage of successful field goals a professional basketball player makes in a season. A random sample of n = 6 professional basketball players gave the following information.
x 61 67 75 86 73 73
y 40 39 48 51 44 51
(b) Use a 5% level of significance to test the claim that ρ > 0. (Use 2 decimal places.) t critical t
(d) Find the predicted percentage y hat of successful field goals for a player with x = 71% successful free throws. (Use 2 decimal places.) %
(e) Find a 99% confidence interval for y when x = 71. (Use 1 decimal place.) lower limit % upper limit %
(f) Use a 5% level of significance to test the claim that β > 0. (Use 2 decimal places.) t critical t
(g) Find a 99% confidence interval for β and interpret its meaning. (Use 3 decimal places.) lower limit upper limit
b)
test statistic t = | r*(√(n-2)/(1-r2))= | 2.80 | ||
t crit = | 2.13 |
d)
predicted value = | 0.5164*71+8.0640 = | 44.73 |
e)
std error of confidence interval = | s*√(1+1/n+(x0-x̅)2/Sxx)= | 3.7433 | |||||
for 99 % confidence and 4degree of freedom critical t= | 4.604 | ||||||
lower limit = | 27.5 | ||||||
uppr limit = | 62.0 |
f)
test statistic t = | r*(√(n-2)/(1-r2))= | 2.80 | ||
t crit = | 2.13 |
g)
std error of slope sb1 = | s/√SSx= | 0.1843 | ||||
for 99 % confidence and -2degree of freedom critical t= | 4.6040 | |||||
99% confidence interval =b1 -/+ t*standard error= | (-0.332,1.365) | |||||
lower limit = | -0.332 | |||||
uppr limit = | 1.365 |