Linear regression

Chapter 30 of 22 strong

RESTS ONClassify a variable as categorical or numericalCH 1 Read a scatterplot's case count, axis roles and a point's coordinatesCH 5 Multiplication and divisionCH 5Signed numbersFOUNDATIONSIdentify the intercept and slope in y = a + bx, including its edge shapesFOUNDATIONSDetermine a drawn fitted line's equation by reading the intercept and computing the slope from on-line pointsFOUNDATIONSWrite a linear model from a description with signed intercept and rateFOUNDATIONSRecover financial parameters from a linear recurrence relationFOUNDATIONSDecimal place valueFOUNDATIONSSolve two-step linear equations by inverse operations in reverse orderFOUNDATIONSState and respect a linear model's domain of interpretationFOUNDATIONS

Conditions for linear modelling

Least squares lines and residuals

Regression models and prediction

Residual plots and linearity

Regression analysis

Name the explanatory and response variables from the direction of the question asked

Not started yet

Practise this

RESTS ON

Classify a variable as categorical or numericalNot started

UNLOCKS

Construct and read a two-way frequency table from paired categorical records CH 2Plot a bivariate data table with the EV on the horizontal axis and the RV on the vertical CH 2Interpret r² as the percentage of response variation explained by explanatory variation and find the unexplained complement CH 2Calculate signed residuals from one fitted model and construct a residual plot with the explanatory variable horizontal and residual verticalTransform the named explanatory or response variable, leave the other variable unchanged, enforce the transformation's domain and label the transformed axis correctly CH 4Recognise a sequence of observations recorded in time order as time series data with time as the explanatory variable and the measured quantity as the response variable CH 5