Equation of the least squares line calculator

    • [DOC File]Statistics Linear Regression Worksheet

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      a) Find the least squares regression line. State the equation below and interpret the slope and y-intercept. b) Find and interpret the value of r2. c) Create a residual plot on your calculator. What does this plot tell you about a linear model for this data? How …

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    • [DOCX File]Resource 14 - Least squares regression line of best fit ...

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      Least squares regression line of best fit and interpolating and extrapolating. Activity 1. Regression analysis using a calculator. Part 1. Find the equation of the least squares line of best fit, and then find the line to a scatterplot. For this activity, you will need the following files: data-file-1.xlsx. how-to-guide-calculator-regression ...

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    • [DOC File]AP Statistics

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      (a) Find the equation of the least-squares regression line of . the data represented in the scatterplot at the right. Use the calculator to determine the LSRL equation. Draw in the LSRL on the scatterplot using two points on either. extreme of the scatterplot. Record these points below. Plot (0, 1.5) and (5, 4), then draw LSRL. Calculate r and .

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    • [DOC File]Topic 9:

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      Record the equation of the line below and sketch it on the following scatterplot. (Note: On your calculator, enter LinReg LLONG, LGEST, Y1. This will store the regression equation in Y1.) Insert pg. 241. Use the regression line to compute the fitted value and residual for a baboon.

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    • [DOCX File]Lakey's AP Stats - Home

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      Use your calculator’s regression function to find the equation of the least-squares regression line. Explain in words what the slope of the regression line tells us. Calculate and interpret the residual for the woman who had a lean body mass of 50.6 kg and a metabolic rate of 1502.

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    • Home - Brentsville District High School

      Use your calculator’s regression function to find the equation of the least-squares regression line. Add this line to your scatterplot from (a). Explain in words what the slop of the regression line tells us.

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