2. Can early homework grades predict student’ final score? Answer the questions below using the regression results (unit: point). (3 pts). Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 51.53 13.45 3.83 0.00 24.26 78.80 HW score 0.36 0.13 2.71 0.01 0.09 0.62 a) Find the equation for the regression line for predicting final score from early homework score. (1 pt) b) Is "homework score" a significant predictor of student’s final score? Why or why not? Provide statistic evidence. (1 pt) c) Interpret slope and y-intercept. (1 pt)

3.4 pizzas

step-by-step explanation:

given is a scatter plot showing number of pizzas sold during weeks for different issues of coupon

y represents number of pizzas sold and x number of coupons issued

y is marked verticaly and x horizontally

the trend line is given as

y =3.4x+43

this says that even when no coupon is issued pizzas sold will be 43

and rate of change of pizza sold for 1 unit of coupon = slope = 3.4

i.e. when x increases by 1 unit y increases by 3.4 units

hence for each additional coupon issued 3.4 pizzas more will be sold

answer: -2+√x,-2-√x

i hope this , i don't know if you're looking for a pair or not.

step-by-step explanation:

we have

using a graphing tool

see the attached figure

this is a quadratic equation (vertical parabola) open up

the vertex is a > vertex

the domain of the function is all real > interval (-∞,∞)

the range of the function is the > [-6.125,∞)

the function has two x->   and

the function is increasing over the > (0.25,∞)

the function is decreasing over the > (-∞,0.25)