Consider the multiple regression model y = xβ + subject to a set of linear constraints of the form cβ = γ, where c is m × (k + 1) matrix. the gauss-markov conditions hold and also ∼ n(0, σ2 i). are the quadratic expressions y0 (i − h)y and y0 (h − h1)y independent? (h and h1 are the hat matrices of the full and reduced model respectively.)

mean, 40.6

step-by-step explanation:

45.36 feet per second.

step-by-step explanation:

to find the most accurate determination for the number of feet per second tyrone traveled on his way to work let us convert miles to feet and minutes to seconds.

1 mile = 5280 feet.

1 minute = 60 seconds.

now we will divide 158400 by 3492 to find the most accurate determination for the number of feet per second tyrone traveled on his way to work.

therefore, tyrone traveled on his way to work at the rate of 45.36 feet per second.