Alison Sanders
Alison Sanders
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Lesson 2.2 Day 3 Notes: Assessing a Regression Line and Correlation Wisdom
This video is intended to help my Application of Data Analysis students understand how to determine the best model to represent data from a scatterplot.
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Lesson 2.2 Day 2 Notes: Least-Squares Regression Lines, Residuals, and Residual Plots33:01Lesson 2.2 Day 2 Notes: Least-Squares Regression Lines, Residuals, and Residual Plots
Lesson 2.2 Day 2 Notes: Least-Squares Regression Lines, Residuals, and Residual Plots
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This video is intended to help my Application of Data Analysis students learn about linear regression and assessing the fit of a regression model.
Lesson 2.2 Day 1 Notes: Scatterplots - Describing Relationships and Correlation22:17Lesson 2.2 Day 1 Notes: Scatterplots - Describing Relationships and Correlation
Lesson 2.2 Day 1 Notes: Scatterplots - Describing Relationships and Correlation
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This video is intended for my Application of Data Analysis students to help introduce them to the topic of regression analysis.
12.3 (Day 3) Significance Tests for Slope15:3312.3 (Day 3) Significance Tests for Slope
12.3 (Day 3) Significance Tests for Slope
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This video is intended to help my AP Statistics students learn how to perform a significance test for the slope of the population (true) regression line.
12.3 (Day 2) Confidence Intervals for Slope12:2312.3 (Day 2) Confidence Intervals for Slope
12.3 (Day 2) Confidence Intervals for Slope
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This video is intended to help my AP Statistics students learn how to construct a confidence interval for the slope of the population (true) regression line.
12.3 (Day 1) Sampling Distribution of a Sample Slope12:4612.3 (Day 1) Sampling Distribution of a Sample Slope
12.3 (Day 1) Sampling Distribution of a Sample Slope
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This video is intended to help my AP Statistics students understand the key features of a sampling distribution of a sample slope and how to check conditions for regression inference.
Buying a House Project: Part 5 Updated31:33Buying a House Project: Part 5 Updated
Buying a House Project: Part 5 Updated
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This is an updated version of the Buying a House Project mortgage calculations explanation based on interest rates and house prices from April 2024.
3.3 (Day 2) More Transformations to Achieve Linearity19:183.3 (Day 2) More Transformations to Achieve Linearity
3.3 (Day 2) More Transformations to Achieve Linearity
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This video is intended to help my AP Statistics students learn how to use logarithms to transform power and exponential models to achieve linearity. I also review why each transformation with logarithms is associated with its respective model type.
3.2 (Day 5) Regression and Correlation Wisdom8:513.2 (Day 5) Regression and Correlation Wisdom
3.2 (Day 5) Regression and Correlation Wisdom
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This video is intended to help my AP Statistics students understand why it is important to assess data visually before using calculations to support their descriptive reasoning. This lesson also discusses the types of unusual values found in scatterplots and their effects on the LSRL, s, and r-squared.
3.2 (Day 3) Assessing a Regression Line, Computer Output15:033.2 (Day 3) Assessing a Regression Line, Computer Output
3.2 (Day 3) Assessing a Regression Line, Computer Output
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This video is intended to help my AP Statistics students learn about the standard deviation of the residuals s, the coefficient of determination r-squared, and how to use computer output with linear regression.
3.2 (Day 4) Regression to the Mean8:143.2 (Day 4) Regression to the Mean
3.2 (Day 4) Regression to the Mean
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This video is intended to help my AP Statistics students learn about regression to the mean and how to use summary statistics and the correlation coefficient r to calculate the LSRL.
3.3 (Day 1) Transformations to Achieve Linearity6:153.3 (Day 1) Transformations to Achieve Linearity
3.3 (Day 1) Transformations to Achieve Linearity
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This video is intended to help my AP Statistics students learn how to use powers and roots to linearize a curved association.
3.2 (Day 2) Calculating the Line, Residual Plots15:323.2 (Day 2) Calculating the Line, Residual Plots
3.2 (Day 2) Calculating the Line, Residual Plots
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This video is intended to help my AP Statistics students learn how to use technology to calculate the LSRL and graph the residual plot as well as using the residual plot to determine whether a linear model is the appropriate model.
3.2 (Day 1) Least-Squares Regression Lines and Residuals15:203.2 (Day 1) Least-Squares Regression Lines and Residuals
3.2 (Day 1) Least-Squares Regression Lines and Residuals
Переглядів 908 місяців тому
This video is intended to help my AP Statistics students learn about the least-squares regression line and how to calculate and interpret residuals. Interpreting slope and y-intercept is also reviewed. This is the third video in a series about linear regression.
3.1 (Day 2) Scatterplots: Correlation10:583.1 (Day 2) Scatterplots: Correlation
3.1 (Day 2) Scatterplots: Correlation
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This video is intended to help my AP Statistics students learn about the concept of correlation. This is the second video in a series about linear regression.
3.1 (Day 1) Scatterplots: Describing Relationships12:323.1 (Day 1) Scatterplots: Describing Relationships
3.1 (Day 1) Scatterplots: Describing Relationships
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3.1 (Day 1) Scatterplots: Describing Relationships
Graphical Linear Programming Example 222:26Graphical Linear Programming Example 2
Graphical Linear Programming Example 2
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Graphical Linear Programming Example 2
12.2 (Day 3) Chi-Square Test for Independence8:4912.2 (Day 3) Chi-Square Test for Independence
12.2 (Day 3) Chi-Square Test for Independence
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12.2 (Day 3) Chi-Square Test for Independence
12.2 (Day 2) Chi-Square Tests for Homogeneity9:4612.2 (Day 2) Chi-Square Tests for Homogeneity
12.2 (Day 2) Chi-Square Tests for Homogeneity
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12.2 (Day 2) Chi-Square Tests for Homogeneity
12.2 (Day 1) Chi-Square Test for Homogeneity15:5212.2 (Day 1) Chi-Square Test for Homogeneity
12.2 (Day 1) Chi-Square Test for Homogeneity
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12.2 (Day 1) Chi-Square Test for Homogeneity
12.1 (Day 2) Chi-square Tests for Goodness of Fit16:5112.1 (Day 2) Chi-square Tests for Goodness of Fit
12.1 (Day 2) Chi-square Tests for Goodness of Fit
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12.1 (Day 2) Chi-square Tests for Goodness of Fit
12.1 (Day 1) Chi-square Tests for Goodness of Fit15:3312.1 (Day 1) Chi-square Tests for Goodness of Fit
12.1 (Day 1) Chi-square Tests for Goodness of Fit
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12.1 (Day 1) Chi-square Tests for Goodness of Fit
11.2 (Day 3) Two-Sample vs. Paired4:4211.2 (Day 3) Two-Sample vs. Paired
11.2 (Day 3) Two-Sample vs. Paired
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11.2 (Day 3) Two-Sample vs. Paired
11.2 (Day 1) Tests for the Difference of Two Means14:3111.2 (Day 1) Tests for the Difference of Two Means
11.2 (Day 1) Tests for the Difference of Two Means
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11.2 (Day 1) Tests for the Difference of Two Means
11.2 (Day 2) Analyzing Paired Data9:4011.2 (Day 2) Analyzing Paired Data
11.2 (Day 2) Analyzing Paired Data
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11.2 (Day 2) Analyzing Paired Data
11.1 Significance Tests for a Population Mean21:0611.1 Significance Tests for a Population Mean
11.1 Significance Tests for a Population Mean
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11.1 Significance Tests for a Population Mean
10.2 (Day 2) Paired Data11:5210.2 (Day 2) Paired Data
10.2 (Day 2) Paired Data
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10.2 (Day 2) Paired Data
10.1 (Day 1) Confidence Intervals for a Mean13:4810.1 (Day 1) Confidence Intervals for a Mean
10.1 (Day 1) Confidence Intervals for a Mean
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10.1 (Day 1) Confidence Intervals for a Mean
10.2 (Day 1) Estimating a Difference in Means13:0610.2 (Day 1) Estimating a Difference in Means
10.2 (Day 1) Estimating a Difference in Means
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10.2 (Day 1) Estimating a Difference in Means
10.1 (Day 2) Choosing a Sample Size7:1110.1 (Day 2) Choosing a Sample Size
10.1 (Day 2) Choosing a Sample Size
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10.1 (Day 2) Choosing a Sample Size

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