You forgot to JUSTIFY THE ANSWRRS LAST TIME (c) The equation of the least squares regression line for the data in the scatterplot is:(i)From this information comment on the strength and direction of the correlation, and justifyyour answers(ii)score = 1.62 x time + 30.8As ro to close to 11Variables scche & time.(with r = 0.94)a strong positive correlation betweenInterpret the slope of this least squares regression line in terms of the variables score andtime.regression model et score to time is,score = 1.62 (time) £30.8thus slope of themodel is,which signifies that for every one unit (day)increase in time, score sincreases by 1.62.

In the given situation, there are two variables.Score and time.

Answered: (c) The equation of the least squares…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 22PFA

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A linear relationship between EmployeeSalary (Dependent) and degree(independent) has the following equation : Salary = 400+0.2 (Degree). SST= 736, SSR= 385. Calculate and interpret the coefficient of determination (r2) : Select one: O a. 0.48 , 47.69 percent of the variability in employee salary can be explained by the simple linear regression equation Ob. 0.52,52.31 percent of the variability in employee salary can be explained by the simple linear regression equation Oc. 0.48, 47.69 percent of the variability in the degree earned can be explained by the simple linear regression equation Od. 0.52, 52.31 percent of the variability in the degree earned can be explained by the simple linear regression equation F Next page JUN 2 12 étv T Ps Lr
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