Overview of Hypothesis Testing
Overview of Hypothesis Testing
Overview of Hypothesis Testing
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Linear regression<br />
• Model for simple linear regression<br />
• Y i = β 0 + β 1 x 1i + ε i<br />
• β 0 = intercept<br />
• β 1 = slope<br />
• Assumptions<br />
• Observations are independent<br />
d • Normally distributed with constant<br />
variance<br />
• <strong>Hypothesis</strong> testing<br />
• H 0 : β 1 = 0 vs. H A : β 1 ≠ 0