MATH 321 Lecture Notes - Lecture 13: Diabetes Mellitus Type 1, Frequency Distribution, Contingency Table
30 Jun 2019
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4. 3 diagnostics on the least-squares regression line 4. 3. 1 identify influential observations (1 of 8) An influential observation is an observation that significantly affects the least-squares regression line"s slope and/or y- intercept, or the value of the correlation coefficient. 4. 3 diagnostics on the least-squares regression line 4. 3. 1 identify influential observations (2 of. Influential observations typically exist when the point is an outlier relative to the values of the explanatory variable. 4. 3 diagnostics on the least-squares regression line 4. 3. 1 identify influential observations (3 of. Influence is affected by two factors: (1) the relative vertical position of the observation (residuals) and (2) the relative horizontal position of the observation (leverage). 4. 3 diagnostics on the least-squares regression line 4. 3. 1 identify influential observations (4 of. Suppose an additional data point is added to the drilling data. At a depth of 300 feet, it took. 4. 3 diagnostics on the least-squares regression line 4. 3. 1 identify influential observations (5 of.
