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Correlation and Linear Regression

Correlation and Linear Regression. How do we measure the strength of a linear relationship? Correlation ( r ) Correlation is a value between no correlation weak correlation moderate correlation strong correlation.

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Correlation and Linear Regression

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  1. Correlation and Linear Regression

  2. How do we measure the strength of a linear relationship? Correlation (r) • Correlation is a value between • no correlation • weak correlation • moderate correlation • strong correlation

  3. Find correlation of McDonald’s fat/calories using above formula.

  4. Find correlation of McDonald’s fat/calories using above formula.

  5. Find correlation of McDonald’s fat/calories using above formula.

  6. Find correlation of McDonald’s fat/calories using above formula. Let us take a closer look at these variables

  7. Find correlation of McDonald’s fat/calories using above formula.

  8. Find correlation of McDonald’s fat/calories using above formula.

  9. Find correlation of McDonald’s fat/calories using above formula.

  10. Find correlation of McDonald’s fat/calories using above formula.

  11. Find correlation of McDonald’s fat/calories using above formula.

  12. Equation of a Line where and Regression Line for McDonald’s Data Equation of the line: y = 133.57 + 13.71x If a new hamburger has 250 calories then it would have ______grams of fat.

  13. Equation of a Line where and Regression Line for McDonald’s Data Equation of the line: y = 133.57 + 13.71x If a new hamburger has 250 calories then it would have 8.49 grams of fat.

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