The US government is interested in understanding what predicts death rates. They have a set of data that includes the number of deaths in each state, the number of deaths resulting from vehicle accidents (VEHICLE), the number of people dying from diabetes (DIABETES), the number of deaths related to the flu (FLU) and the number of homicide deaths (HOMICIDE). Your run a regression to predict deaths and get the following output:If the fitted regression is Y = 3.5 + 2.1X (R2 = .25, n = 25), it is incorrect to conclude thatA. Y increases 2.1 percent for a 1 percent increase in X.B. the estimated regression line crosses the Y axis at 3.5C. the sample correlation coefficient must be positiveD. the value of the sample correlation coefficient is 0.50 Regression StatisticsMultiple R0.874642413R Square0.764999351Adjusted R Square0.744564512Standard Error62.97881926Observations51ANOVAdfMSSignificance FRegression4593934.928148483.73237.436035146.36772E-14Residual46182451.25713966.331676Total50 776386.1851Coefficients Standard ErrorUpper 95%t StatP-valueLower 95%Intercept240.800228551.133929614.7092063982.31605E-05137.8729666343.7274903VEHICLE3.0427829811.5823262211.9229808240.06068593-0.1422745066.227840468DIABETES11.242122651.6590664896.7761736651.97533E-087.90259501714.58165028FLU12.323045842.0570122155.9907499572.9897E-078. 18249500716.46359668HOMICIDE1.3621284562.1135628170.6444702970.522471501-2.8922528375.616509749

Option A: Regression Equation is y-hat=b0+b1x Interpretation: Intercept, b0: Represents the…

Answered: Regression Statistics Multiple R…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 34RE: Draw a scatter plot for the data in Table 2. Then determine whether the data appears to belinearly...

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The US government is interested in understanding what predicts death rates. They have a set of data that includes the number of deaths in each state, the number of deaths resulting from vehicle accidents (VEHICLE), the number of people dying from diabetes (DIABETES), the number of deaths related to the flu (FLU) and the number of homicide deaths (HOMICIDE). Your run a regression to predict deaths and get the following output:

If the fitted regression is Y = 3.5 + 2.1X (R2 = .25, n = 25), it is incorrect to conclude that

A. Y increases 2.1 percent for a 1 percent increase in X.

B. the estimated regression line crosses the Y axis at 3.5

C. the sample correlation coefficient must be positive

D. the value of the sample correlation coefficient is 0.50

Regression Statistics
Multiple R
0.874642413
R Square
0.764999351
Adjusted R Square
0.744564512
Standard Error
62.97881926
Observations
51
ANOVA
df
MS
Significance F
Regression
4
593934.928
148483.732
37.43603514
6.36772E-14
Residual
46
182451.2571
3966.331676
Total
50 776386.1851
Coefficients Standard Error
Upper 95%
t Stat
P-value
Lower 95%
Intercept
240.8002285
51.13392961
4.709206398
2.31605E-05
137.8729666
343.7274903
VEHICLE
3.042782981
1.582326221
1.922980824
0.06068593
-0.142274506
6.227840468
DIABETES
11.24212265
1.659066489
6.776173665
1.97533E-08
7.902595017
14.58165028
FLU
12.32304584
2.057012215
5.990749957
2.9897E-07
8. 182495007
16.46359668
HOMICIDE
1.362128456
2.113562817
0.644470297
0.522471501
-2.892252837
5.616509749

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