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?

the ratio of white tiles to blue tiles is 48: 16. the ratio in it's simplest form is 3: 1.

step-by-step explanation:

ratio: take the first number and add a colon next to it, then add the second number after that. make sure the ratio order matches up with the written problem!

simplest form: we can simplify the ratio 48 : 16 by dividing both terms by the greatest common factor (gcf).

the gcf of 48 and 16 is 16.

divide both terms by 16:

48 ÷ 16 = 3

16 ÷ 16 = 1

reducing to simplest form:

48 : 16 = 3 : 1

the 1st digit is in the 100s n its 1

step-by-step explanation:

3,589÷18 = 199.389

so the first digit of the quotient is in the 100s n its 1