Biostatistics with R/Simple Linear Regression and Correlation

Summary of Formulars with R

Formular NumberNameFormularFormular with R
9.2.1Assumption of linearityExampleExample
9.2.2Simple linear regression modelExampleExample
9.2.3Error (residual) termExampleExample
9.3.1Algebraic representation of a straight lineExampleExample
9.3.2Least square estimate of the slope of a regression lineExampleExample
9.3.3Least square estimate of the intercept of a regression lineExampleExample
9.4.1Deviation equationExampleExample
9.4.2Sum-of-squares equationExampleExample
9.4.3Estimated population coefficient of determinationExampleExample
9.4.4–9.4.7Means and variances of point estimators a and bExampleExample
9.4.8z statistic for testing hypotheses about bExampleExample
9.4.9t statistic for testing hypotheses about bExampleExample
9.5.1Prediction interval for Y for a given XExampleExample
9.5.2Confidence interval for the mean of Y for a given XExampleExample
9.7.1–9.7.2Correlation coefficientExampleExample
9.7.3t statistic for correlation coefficientExampleExample
9.7.4z statistic for correlation coefficientExampleExample
9.7.5Estimated standard deviation for z statisticExampleExample
9.7.6Z statistic for correlation coefficientExampleExample
9.7.7Z statistic for correlation coefficient when n < 25ExampleExample
9.7.8Standard deviation for z ÃExampleExample
9.7.9Z Ã statistic for correlation coefficientExampleExample
9.7.10Confidence interval for rExampleExample
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Category:Book:Biostatistics with R#Simple%20Linear%20Regression%20and%20Correlation%20
Category:Book:Biostatistics with R