Formulas: Statistics - Regression

How many formulas should I remember?
- 7.
- linear regression line
- Slope formula
- y@x=0
- Standard deviation for population/sample
- R coefficiant
- SSE formula.
How should the table look like that I will use to calculate the numbers then used in the formulas?
- We have (y-y:hat)^2 as an extra column to be calculated when we have done our formula for yhat = ax +b solved. this is we we can calculate Standard error of estimate using this extra column.
What does the regression line formula look like?
What does the slope formula look like in the linear regression line?
What does the formula for y value for x=0 look like?
What does the formula look like that gives value representing the strength of the relationship of the two variables?
- use values from tables
- n = the nr of dataPAIRS (not induvidual points)
How do we Calculate the Standard error of the Y-Estimate?
- We have (y-yhat)^2 and calculate this for each data-point of Y using out table with this as an extra column. We then use the sum of this column and dived by our N and take the square of this to get our regression SSE.

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Formulas: Statistics - Regression

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Formulas: Statistics - Regression

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2018-12-28T15:25:53Z

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