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olivia_rose

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In simple linear regression, most often we perform a two-tailed test of the population slope\(\style{font-family:Times New Roman;}{\beta_1}\)to determine whether there is sufficient evidence to infer that a linear relationship exists. The null hypothesis is stated as:

H0:\(\style{font-family:Times New Roman;}{\beta_1}\)= 0.


H0:\(\style{font-family:Times New Roman;}{\beta_1}\)=b1.


H0:\(\style{font-family:Times New Roman;}{\beta_1}\)= 1.


H0:\(\style{font-family:Times New Roman;}{\beta_1}\)≠ 0.



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Marked as best answer by olivia_rose on Feb 26, 2023

char00char

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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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olivia_rose

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Reply 2 on: Feb 26, 2023
:D TYSM


FergA

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Reply 3 on: Yesterday
Wow, this really help

 

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