AI HL: Regressions Overview (4.4,4.10,4.12)

LO and DoL

LO: Students will determine the curve of best fit using various regressions and use these curves to make predictions.

DoL: Students will complete a multi-part, IB-Style problem over regressions with at least 80% accuracy

Form of y=mx+c

CALC STEPS: Data in Spreadsheet => Menu => Stat => Stat Calc => Linear Regression (mx+b)

​Linear Regression

A value that tells you strength of correlation (strong or weak), and which DIRECTION the variables are correlated (positive or negative)

​Correlation Coefficient

​REMEMBER!

For all regressions it is important to keep track of which measurement is attached to which variable.

From your EdPuzzle

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​Other types of regressions!

Between 0 and 1

A measure of how well our chosen model fits the data set

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​Coefficient of Determination

Numerical Solve Function

Calculator => Menu => Algebra => Numerical Solve



Disclaimer: Only gives one answer though. Use graph for something that should have multiple answers.

​Spearman's Rank Correlation

R-Value between RANKS

Ties in ranks!

Figure out which places they are tied for.

Average these ranks.

They get the same rank!