'Good regression line makes' presentation slideshows

Finding Areas with Calc 1. Shade Norm

Finding Areas with Calc 1. Shade Norm. Consider WISC data from before: N (100, 15). Suppose we want to find % of children whose scores are above 125 Specify window: X[55,145]12 and Y[-.008, .028].01 Press 2nd VARS (DISTR), then choose Draw and 1: ShadeNorm(.

596 views • 52 slides

Finding Areas with Calc 1. Shade Norm

Finding Areas with Calc 1. Shade Norm. Consider WISC data from before: N (100, 15). Suppose we want to find % of children whose scores are above 125 Specify window: X[55,145]12 and Y[-.008, .028].01 Press 2nd VARS (DISTR), then choose Draw and 1: ShadeNorm(.

525 views • 52 slides

Finding Areas with Calc 1. Shade Norm

Finding Areas with Calc 1. Shade Norm. Consider WISC data from before: N (100, 15). Suppose we want to find % of children whose scores are above 125 Specify window: X[55,145]12 and Y[-.008, .028].01 Press 2nd VARS (DISTR), then choose Draw and 1: ShadeNorm(.

690 views • 51 slides

543 views • 42 slides

CHAPTER 3 Describing Relationships

CHAPTER 3 Describing Relationships. 3.2 Least-Squares Regression. Least-Squares Regression. INTERPRET the slope and y intercept of a least-squares regression line. USE the least-squares regression line to predict y for a given x .

375 views • 34 slides

CHAPTER 3 Describing Relationships

CHAPTER 3 Describing Relationships. 3.2 Least-Squares Regression. Regression Line.

436 views • 32 slides

Describing Bivariate Relationships

Describing Bivariate Relationships. Chapter 3 Summary YMS AP Stats. 3.1 Response Vs. Explanatory Variables. Response variable measures an outcome of a study, explanatory variable helps explain or influences changes in a response variable (like independent vs. dependent).

400 views • 28 slides

Section 3.2 Least-Squares Regression

359 views • 28 slides

264 views • 26 slides

Lesson 3 - 2

377 views • 25 slides

304 views • 23 slides

CHAPTER 3 Describing Relationships

CHAPTER 3 Describing Relationships. 3.2 Least-Squares Regression. Least-Squares Regression. INTERPRET the slope and y intercept of a least-squares regression line. USE the least-squares regression line to predict y for a given x .

233 views • 23 slides

232 views • 23 slides

R egression, Residuals, and Coefficient of Determination

R egression, Residuals, and Coefficient of Determination. Section 3.2. Regression Lines. Interpreting the Regression Line.

233 views • 12 slides