A group of 13 health children and adolescents participated in a study designed to analyze the relationship between age (AGE in years) and average total sleep time (ATST in minutes).  To obtain a measure for ATST, recordings were taken on each subject on three consecutive nights and then averaged . The results obtained are given below along with the corresponding scatter plot.      AGE       ATST 1.   4.40       586.00 2.  14.00       461.75 3.  10.10        491.10 4.   6.70        565.00 5.  11.50       462.00 6.   9.60       532.10 7.  12.40       477.60 8.   8.90        515.20 9.  11.10        493.00 10.  7.75       528.30 11.  5.50 575.90 12.  8.60 532.50 13.  7.20 530.50 A simple linear regression model was fit to the data in R.  The results are given below. Call: lm(formula = ATST ~ AGE)   Residuals:     Min      1Q  Median      3Q     Max -23.011  -9.365   2.372   6.770  20.411   Coefficients:             Estimate Std. Error t value Pr(>|t|)    (Intercept)  646.483     12.918   50.05 2.49e-14 *** AGE          -14.041      1.368  -10.26 5.70e-07 *** --- Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1   Residual standard error: 13.15 on 11 degrees of freedom Multiple R-squared:  0.9054, Adjusted R-squared:  0.8968 F-statistic: 105.3 on 1 and 11 DF,  p-value: 5.7e-07 - Write the formula for the estimated regression line.

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A group of 13 health children and adolescents participated in a study designed to analyze the relationship between age (AGE in years) and average total sleep time (ATST in minutes).  To obtain a measure for ATST, recordings were taken on each subject on three consecutive nights and then averaged . The results obtained are given below along with the corresponding scatter plot.

     AGE       ATST

1.   4.40       586.00

2.  14.00       461.75

3.  10.10        491.10

4.   6.70        565.00

5.  11.50       462.00

6.   9.60       532.10

7.  12.40       477.60

8.   8.90        515.20

9.  11.10        493.00

10.  7.75       528.30

11.  5.50 575.90

12.  8.60 532.50

13.  7.20 530.50

A simple linear regression model was fit to the data in R.  The results are given below.

Call:

lm(formula = ATST ~ AGE)

 

Residuals:

    Min      1Q  Median      3Q     Max

-23.011  -9.365   2.372   6.770  20.411

 

Coefficients:

            Estimate Std. Error t value Pr(>|t|)   

(Intercept)  646.483     12.918   50.05 2.49e-14 ***

AGE          -14.041      1.368  -10.26 5.70e-07 ***

---

Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

 

Residual standard error: 13.15 on 11 degrees of freedom

Multiple R-squared:  0.9054, Adjusted R-squared:  0.8968

F-statistic: 105.3 on 1 and 11 DF,  p-value: 5.7e-07

- Write the formula for the estimated regression line. 

The image shows a line graph illustrating the increasing trend of living things changing over a timeline. The y-axis represents the quantity or degree of change in living things, while the x-axis indicates time, divided into four sections labeled A, B, C, and D. 

Section A shows a gradual increase, indicating a slow change or development in living things. Section B depicts a sharper upward trend, suggesting a faster rate of change. In section C, the graph shows a more significant jump, indicating a rapid transformation or evolution. Finally, section D shows a tapering off or stabilization, suggesting a plateau in change.

Overall, the graph demonstrates how living organisms have evolved or changed at varying rates across different time periods.
Transcribed Image Text:The image shows a line graph illustrating the increasing trend of living things changing over a timeline. The y-axis represents the quantity or degree of change in living things, while the x-axis indicates time, divided into four sections labeled A, B, C, and D. Section A shows a gradual increase, indicating a slow change or development in living things. Section B depicts a sharper upward trend, suggesting a faster rate of change. In section C, the graph shows a more significant jump, indicating a rapid transformation or evolution. Finally, section D shows a tapering off or stabilization, suggesting a plateau in change. Overall, the graph demonstrates how living organisms have evolved or changed at varying rates across different time periods.
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