CS 4407 S3 p13

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School

University of the People *

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Course

4407

Subject

Statistics

Date

Nov 24, 2024

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png

Pages

1

Uploaded by BailiffStingray828

A linear regression model is expressed as y = B0+ B1x where B0 is the intercept and B1 is the slope of the line. The following equations can be used to compute the value of the coefficients B0 and B1. st nzinzlxl')'!-z?zixl Z?:x)’t N 1 n 31 = Bo - n I, xi - %i)? n =i Using the following set of data, find the coefficients B0 and B1rounded to the nearest thousandths place and the predicted value of y when x is 10. {(-<1,0),(0,2),(1,4),(2,5)} p0=1.9 Answer 1 R1=1.7 Answer 2 y=18.9 Answer 3 when x is 10 Which command will provide descriptive statistics for the Boston data frame? Select one: a. summary(Boston) eval(Boston) C. coef(Boston) d. stats(Boston) Feedback Your answer is correct. The correct answer is: summary(Boston) '=1yi —Bl >
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