Suppose that a researcher, using data on 150 randomly selected bicycles, estimates the ols regression: modifyingabove price with caret equals 672.65 minus 1.56 times weight, (191.4) (0.28) where price measures the price of the i superscript th bike in dollars and weight measures the weight of the i superscript th bike in kilograms. the 99% confidence interval for the intercept, beta 0, will be ( nothing, nothing).

99% CI for the intercept (b₀) [173.29; 1172.01]dollars

Step-by-step explanation:

Hello!

You have the information of two variables

Y: price of a bycicle (dollars)

X: Weight of a bycicle (kilograms)

The estimated regression equation is

^Y= 672.65 - 1.56X

      (191.4)       (0.28)

Assuming that 191.4 is the estimated standard deviation of the intercept and 0.28 corresponds to the estimated standard deviation of the slope. The statistic you can use to estimate the intercept is a student's t.

99% CI for the intercept (b₀):

b₀ ± tₙ₋₂;1-α * Sb₀

tₙ₋₂;1-α= t₁₄₈;₀.₉₉₅= 2.609

672.65 ± (2.609*191.4)

[173.2874; 1172.0126]dollars

I hope it helps!

4

step-by-step explanation:

black/brown

step-by-step explanation:

well, you see here, jamal was born to 2 parents, his mother who he lives with and his father who left at a young age and who happens to be younger than him. he stole cookies because he has to steal food due to the fact that he spends his government poverty checks on pot and women.