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Author Question: yx1.22.552.02.803.03.00The estimated regression line is\(\style{font-family:Times New ... (Read 13 times)

Tiffanyanne824

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on: Feb 26, 2023

Question 1

Which value of the correlation coefficientrindicates a stronger correlation than 0.72?

◦

–0.89


◦

–0.69


◦

0.55


◦

0.70



Question 2

​
yx
1.22.55
2.02.80
3.03.00

​

The estimated regression line is

​

\(\style{font-family:Times New Roman;}{y\text{ }=\;-8.98\;+\;3.97x\text{ }}\)

​

Calculate the residuals.


◦

1.409, 0.6672, 0.0738


◦

–1.35, –0.8, 0


◦

–1.409, –0.6672, –0.0738


◦

0.057, –0.136, 0.070

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Marked as best answer by Tiffanyanne824 on Feb 26, 2023

StephaniaF

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Reply #1 on: Feb 26, 2023
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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Area ample of the meat in just one of the quart freezer bags then fit them into your fridge. http://www.roulette48.com/

Tiffanyanne824

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Reply 2 on: Feb 26, 2023
Thanks for the timely response, appreciate it

EAN94

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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