Answer:
The interpretation is incomplete, just states about one independent variable impact, ignores the other variables in the model.
Step-by-step explanation:
Regression states the relationship between independent variable (x's) & dependent variable (y). Hypothesis states the statistical significance of their relationships.
Given case multiple regression : y = b0 + b1x1 + b2x2 + b2x3 , where y = broadway plays revenue , x1= no. of paying attendants, x2 = no. of shows, x3 = average ticket price.
Null Hypothesis H0: b2 = 0; Alternate Hypothesis H1: b2 ≠ 0, denote whether x2 i.e 'no. of shows' significantly affect y i.e 'broadway plays revenue'.
However, the multiple regression model ignores effect of all other independent variables (x's - x1, x2, x3) affecting dependent variable (y - broadway plays revenue)
Answer:
Step-by-step explanation:
are we solving this ?
the 2 equations that need to be solved are [3x+5] and x-1. If you need the answer to what x is you'd solve it by evening out the problems. so first add one to both so you'd have 3x+6=x then you'd take the 3x and subtract it from both sides making it 6=-2x. Then divide 6 by negative 2 making it -3=x.
Answer:
whats the rest of the picture say, i cant tell
Step-by-step explanation:
please retake the photo so i can help u
Answer:
600 miles.
Step-by-step explanation:
So basically we can write both plans as linear functions:
F(x) = $59.96+$0.14 . x
S(x) = $71.96+$0.12 . x
Where F(x) is the first plan, S(x) is the second one and X are the miles driven.
To know how many miles does Mai need to drive for the two plans to cost the same, we equalize both equations and isolate x.
F(x) = S (x)
Mai has to drive 600 miles for the two plans to cost the same-
