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.

(c) The equation of the least squares regression line for the data in the scatterplot is: score = 1.62 x time + 30.8 (with r = 0.94) From this information comment on the strength and direction of the correlation, and justify your answers (i) As ro to close to 11 that as a strong positive correlation between (ii) I time. & Interpret the slope of this least squares regression line in terms of the variables score and time. regression model of sccre to time is, et Score = 1.62 (time) +30.8 thus slope of the model 17, which signifies that for every one unit (day) crease in time, score sincreases скате score &increases by 1.62.

(c) The equation of the least squares regression line for the data in the scatterplot is: score = 1.62 x time + 30.8 (with r = 0.94) From this information comment on the strength and direction of the correlation, and justify your answers (i) As ro to close to 11 that as a strong positive correlation between (ii) I time. & Interpret the slope of this least squares regression line in terms of the variables score and time. regression model of sccre to time is, et Score = 1.62 (time) +30.8 thus slope of the model 17, which signifies that for every one unit (day) crease in time, score sincreases скате score &increases by 1.62.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.4: Linear Regression

Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4

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