The following regression output is for predicting the heart weight (in g) of cats from their body weight (in kg). The coefficients are estimated using a dataset of 144 domestic cats Estimate Std. Error t value Pr(>lt) 20
(Intercept) -0.357 0.692 -0.515 0.607
body wt 4.034 0.250 16.119 0.000
s = 1.452 R2 64.66% Radj-64.41%
(a) Write out the linear model
(b) Interpret the intercept
(c) Interpret the slope
(d) Interpret R2
(e) Calculate the correlation coefficient

the correct answer is the second option

it is a. 4.2 because 7.6-3.4 gets the remaining length of 4.2. i might be wrong but i am pretty sure this is the answer.

let x and 400 - x be the two numbers.  

==> 0.80x + 0.85(400 - x) = 400 - 68 from the statement of the problem.  

< ==> 0.80x + 0.85(400 - x) = 400 - 68  

==> 340 - 0.05x = 332  

< ==> -0.05x = -8 ==> x = 160, the first number ==> 400 - x = 240, the second number.

the answer is -1 1/5, also a

hope i

-lavira : )