Creating a regression with the R statistical programming language and interpreting its output.

Using the College Board Website, AP Statistics, Units 1.5 through 1.7 - Representing a quantitative variable with graphs - Describing the distribution of a quantitative variable - Summary statistics for a quantitative variable.

Using the College Board Website, AP Statistics, Units 1.1 through 1.4 - The two types of variables; categorical and quantitative, and how to distinguish them - Representing a categorical variable with tables - Representing a categorical variable with graphs -

Using the College Board Website, AP Statistics, Unit 9.6: Summarized the inference methods from units 6 through 9 and discussed how to select the appropriate inference procedure. Planned unit test for Tuesday, December 13.

Using the College Board Website, AP Statistics, Unit 9.5: Calculating a test statistic and p-value for a significance test about the slope of a population regression line. Interpreting the p-value and stating a conclusion about the regression.

Using the College Board Website, AP Statistics, Unit 9.4: How to state the null and alternative hypotheses for a significance test about the slope of a population regression line. How to check the conditions for, and perform the significance test about, the slope.

Using the College Board Website, AP Statistics, Unit 9.3: How to interpret a confidence interval for the slope of a population regression line, and how to use the interval to justify a claim.

Using the College Board Website, AP Statistics, Unit 9.2: The slope of a sample regression line relates to the population regression model - Procedure and checks for constructing a confidence interval for the slope - Calculating the confidence interval -

Using the College Board Website, AP Statistics, Unit 9.1: The logic of inference about the slope of a population regression model -

Today Joshua took the Unit 7 tests on the College Board AP Statistics Website and passed all three parts.