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Include your SAS code and necessary output. (Do not need all output. Only provide output related to your answer for questions) Use the data in Problem 7 in chapter 5. (Data “EX0507.txt” is listed...

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Include your SAS code and necessary output. (Do not need all output. Only provide output related to your answer for questions)
Use the data in Problem 7 in chapter 5. (Data “EX0507.txt” is listed below)
1) Use SAS to draw scatter plots between Y1 (Dist) and X, Y2 () and X.
2) Use SAS to determine the least-square estimates of the slope and intercept for each of the following straight-line regressions: Y1(Dist) on X (Y1 is response and X is predictor), and Y2 on X (Y2 is response and X is predictor). Write down the formula for the estimated regression lines. Draw (you can draw manually) the estimated lines on the appropriate scatter diagrams.
3) Which of the two variable pairs mentioned in part 1) seems to be better suited for straight-line regression?
MPH    DIST    SQRTDIST
25    37.4    6.12
35    57.7    7.6
60    337.6    18.37
45    142.5    11.94
50    182.4    13.51
37.5    67.5    8.22
30    37.5    6.12
55    225    15
60    258.1    16.07
65    297.4    17.25
50    170    13.04
20    20    4.47
15    13.5    3.67
27.5    40.8    6.39
55    207.8    14.42
40    105    10.25
45    132.6    11.52
17.5    19.1    4.37
22.5    25    5
Answered Same DayJan 27, 2022

Solution

Mohd answered on Jan 27 2022
61 Votes
Include your SAS code and necessary output. (Do not need all output. Only provide output related to your answer for questions)
Use the data in Problem 7 in chapter 5. (Data “EX0507.txt” is listed below)
1) Use SAS to draw scatter plots between Y1 (Dist) and X, Y2 () and X.
2) Use SAS to determine the least-square estimates of the slope and intercept for each of the following straight-line regressions: Y1(Dist) on X (Y1 is response and X is predictor), and Y2 on X (Y2 is response and X is predictor). Write down the formula for the estimated regression lines. Draw (you can draw manually) the estimated lines on the appropriate scatter diagrams.
Model: MODEL1
Equation:
y = c + mx
DIST = -122.34459 + 6.22708 * MPH
Dependent Variable: DIST
    Analysis of Variance
    Source
    DF
    Sum of
Squares
    Mean
Square
    F Value
    Pr > F
    Model
    1
    173474
    173474
    173.18
    <.0001
    E
o
    17
    17029
    1001.69058
     
     
    Co
ected Total
    18
    190503
     
     
     
    Root MSE
    31.64950
    R-Square
    0.9106
    Dependent Mean
    125.10000
    Adj R-Sq
    0.9054
    Coeff...
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