Exercise presents regression output from a model 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 cat. the model output is also provided below.
estimate std. error t value pr(> |t|)
(intercept) -0.357 0.692 -0.515 0.607
body wt 4.034 0.250 16.119 0.000
s = 1.452 r^2= 64.66% r^2adj = 64.41%
(a) we see that the point estimate for the slope is positive. what are the hypotheses for evaluating whether body weight is positively associated with heart weight in cats?
(b) state the conclusion of the hypothesis test from part (a) in context of the data.
(c) calculate a 95% confidence interval for the slope of body weight, and interpret it in context of the data.
(d) do your results from the hypothesis test and the confidence interval agree? explain.

if gloria has "carry over" minutes, (that is, any minutes paid for but not used in a month can be applied to her payment for minutes in the next month,) her total usage for the three months is: total minutes = 320 + 243 + 489 = 1052 minutes number of 200 minute blocks = 1052/200 = 5 r52 (that is 5 with a remainder of 52) rounding up the number of 200 minute blocks gives her usage for the three months as 6 blocks. the cost for six blocks is 6 x $25 = $150 she also has 200 - 52 or 148 carry over minutes if gloria pays each month and unused minutes are lost, applying the rounding up procedure to each month gives: first month usage of 320 minutes rounds up to 2 blocks of 200 minutes for a payment of 2 x $25 = $50 second month usage of 243 minutes rounds up to 2 blocks of 200 minutes for a payment of 2 x $25 = $50 third month usage of 489 minutes rounds up to 3 blocks of 200 minutes for a payment of 3 x $25 = $75 total payments for the three months are $50 + $50 + $75 = $175 get the plan with carry over minutes!

30,40,50 is correct answer

no solution exists the way you wrote the equation.

a. true

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