Determine the least squares regression line calculator
[DOCX File]Notes 3.3: Least Squares Regression Line
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A number that describes both the direction and steepness of a line. y-intercept: The value of y where the LSRL crosses the y-axis. We will always write a LSRL symbolically using the general form and in context using words. We will use technology to determine the slope and y-intercept in order to write an equation for the line of best fit.
[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!).
[DOCX File]afebles.weebly.com
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a) Use your calculator to find the equation of the least-squares regression equation. Write the equation, defining any variables you use. b) Explain what is meant by “least squares” in the expression “least-squares regression line.” c) This manufacturer also produces a television with a screen size of 943 square inches.
[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.
[DOCX File]Chapter 3: Two-Variable Relationships
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Determine the equation of a least-squares regression line using technology or computer output. Construct and interpret residual plots. Interpret the standard deviation of residuals and . r. 2. Recognize influential observations and describe how they affect an LSRL. Find the slope and y-intercept of the least-squares regression line from the ...
[DOC File]AP Statistics
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Determine the least-squares regression line. (b) Determine coefficient of determination. Explain what this index means. r2 = .4225 42.25% of the variation in annual family income is explained by the variation in the number of telephones in the household.. 13.
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