S.ID.8 Compute (using Knowledge of the range of the values Use a scatter plot to check that the data appears technology) and interpret the ()and the interpretation of those to be linear. correlation coefficient of a values for correlation coefficients Only use for linear relationships “r” linear fit. (major) Ability to compute and analyze the If all data points satisfy a linear equation (y=mx correlation coefficient for the purpose +b) then the value of will be +1 (or -1) r of communicating the goodness of fit Notes: Build on student of a linear model for a given data set experience with linear relationships in eighth grade and introduce the correlation coefficient. The focus here is on the computation and interpretation of the correlation coefficient as a measure of how well the data fit the relationship. The important distinction between a statistical relationship and a cause-and-effect relationship arises in S.ID.9.
S.ID.8 Compute (using technology) and interpret the correlation coefficient of a linear fit. (major) Notes: Build on student experience with linear relationships in eighth grade and introduce the correlation coefficient. The focus here is on the computation and interpretation of the correlation coefficient as a measure of how well the data fit the relationship. The important distinction between a statistical relationship and a cause-and-effect relationship arises in S.ID.9. Knowledge of the range of the values ()and the interpretation of those values for correlation coefficients Ability to compute and analyze the correlation coefficient for the purpose of communicating the goodness of fit of a linear model for a given data set Use a scatter plot to check that the data appears to be linear. Only use “r” for linear relationships If all data points satisfy a linear equation (y=mx +b) then the value of r will be +1 (or -1)
A1_U3_UP_Descriptive_Statistics_Jan_15.docx