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Author Question: Shown below is a portion of a computer output for a regression analysis relating supply (Y in ... (Read 80 times)

meganh99

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on: Mar 25, 2023

Shown below is a portion of a computer output for a regression analysis relating supply (Y in thousands of units) and unit price (X in thousands of dollars).

ANOVA  
 

df

SS

Regression

  1

  354.689

Residual

39

7035.262

   
 

Coefficients

Standard Error

Intercept

54.076

2.358

X

  0.029

0.021


a.What has been the sample size for this problem?
b.Perform a t test and determine whether or not supply and unit price are related. Let α = 0.05.
c.Perform and F test and determine whether or not supply and unit price are related. Let α = 0.05.
d.Compute the coefficient of determination and fully interpret its meaning. Be very specific.
e.Compute the coefficient of correlation and explain the relationship between supply and unit price.
f.Predict the supply (in units) when the unit price is $50,000.

Essentials of Statistics for Business and Economics ¦ Anderson, Sweeney, Williams, Camm, Cochran ¦ 7th Edition
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Marked as best answer by meganh99 on Mar 25, 2023

gwisel

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Reply #1 on: Mar 25, 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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meganh99

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Reply 2 on: Mar 25, 2023
Gracias!

jackie

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

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