The least squares regression line calculator

    • [DOC File]Section 10

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      The line of best-fit or the least-squares regression line is the line that minimizes the sum of the squared residuals. On the calculator it will be . Relate this equation back to the slope-intercept form for a linear equation, , that you learned in Algebra, where m is the slope and b is the y-intercept.

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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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    • [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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    • [DOC File]Section 1

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      Using a calculator, find the least-squares regression line for predicting values of a response variable, y, from an explanatory variable, x, from the data. Find the slope and intercept of the least-squares regression line for the means and standard deviations of x and y and their correlation. Use the regression line to predict y for a given x.

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    • [DOC File]Chapter 2: Data

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      The Least-Squares Regression Line (LSRL) is the line that minimizes this sum. The equation of the LSRL is . represents explanatory variable (actual data). represents predicted y-value. represents y-intercept. represents slope. Given a set of data, you can calculate the LSRL (without using your calculator!).

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    • [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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