Use the Teams data frame from the LahmanRbroom package. Fit a multivariate linear regression model to obtain the effects of BB and HR on Runs () in 1971. Use the tidy() function in the package to obtain the results in a data frame.1) What is the estimate for the effect of BB on runs? What is the estimate for the effect of HR on runs?2) Fit a linear model on the results from Question to determine the effect of year on the impact of BB. For each additional year, by what value does the impact of BB on runs change?3) What is the p-value for this effect?

connie < felicia < stew

step-by-step explanation:

stew:

we need to find the slope

m = (y2-y1)/ (x2-x1)

    = (2650-795)/(10-3)

    = 1855/7

265 words per minute

connie:

we need to find the slope

m = (y2-y1)/ (x2-x1)

we have two points (0,0) and (4,800)

m = (800-0)/(4-0)

  m = 800/4

    200 words per minute

felicia:

260 words per minute

200< 260 < 265

connie < felicia < stew

n

step-by-step explanation:

answer: the answer is one

step-by-step explanation:

pemdas, in this situation there is no parenthesis or exponents so you go to multiplication, 1x1=1, then division 1/1= 1 then addition 1+1=2 then subtraction 2-1=1

answer is because 4×10=40

and 98×4= is 392

40,392