DeathRate PctUrbPop AvgSpRural PctSurf 0.20962 0.38322 58.9 0.94404 0.23077 0.54711 58.2 0.59767 0.20315 0.25593 58.6 0.41539 0.1851 0.61374 59.5 0.8328 0.13017 0.06938 59 0.64795 0.18064 0.18474 55.5...

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DeathRatePctUrbPopAvgSpRuralPctSurf
0.209620.3832258.90.94404
0.230770.5471158.20.59767
0.203150.2559358.60.41539
0.18510.6137459.50.8328
0.130170.06938590.64795
0.180640.1847455.50.64428
0.082580.074762.20.97966
0.131260.3008858.20.99794
0.144510.1619759.90.60671
0.180490.4344358.50.73756
0.123270.1783655.20.95256
0.191650.8333356.80.52655
0.124130.1851758.30.94289
0.149750.34166580.96991
0.206920.6304756.90.94492
0.191670.5692857.70.74628
0.186840.5336960.20.9079
0.169820.3695856.30.93895
0.131380.6909857.90.93363
0.065990.1444356.80.99821
0.092740.0310858.51
0.145770.1814859.50.84516
0.143770.36858.40.90854
0.177980.7386661.30.97715
0.190150.3605959.30.94228
0.310990.7544658.90.5953
0.194950.5537558.50.81586
0.262710.1923159.70.30828
0.121920.5006357.10.80282
0.08850.0723154.10.95492
0.341780.6613160.60.27209
0.077230.11321570.95212
0.184160.5451858.90.89573
0.233280.874459.30.66466
0.12380.1984957.10.98357
0.207530.3941556.70.61739
0.117920.192858.10.86295
0.056930.08565560.94201
0.20170.51817590.68717
0.235730.8554658.40.75764
0.213230.3689353.50.97616
0.190850.2182760.10.70449
0.11970.205357.70.42227
0.08686157.90.92715
0.142340.34096590.97875
0.173940.2819356.80.79592
0.206780.6312958.30.72651
0.139830.3966758.60.94195
0.55053160.20.57907



Sheet1 DeathRatePctUrbPopAvgSpRuralPctSurf 0.20962400730.383219987258.90000152590.9440400004 0.23076899350.547110021158.20000076290.5976700187 0.20314599570.255930006558.59999847410.4153900146 0.1850969940.61374002759.50.8327999711 0.13017000260.0693800002590.6479499936 0.18063800040.184740006955.50.6442800164 0.08258099850.074699997962.20000076290.9796599746 0.1312610060.300880014958.20000076290.9979400039 0.14451299610.161970004459.90000152590.6067100167 0.18049100040.434430003258.50.7375599742 0.12327200170.178360000355.20000076290.9525600076 0.19164599480.833329975656.79999923710.5265499949 0.12413000320.185169994858.29999923710.9428899884 0.14974600080.3416599929580.9699100256 0.20692099630.630469977956.90000152590.9449200034 0.19166700540.569280028357.70000076290.7462800145 0.18683600430.533689975760.20000076290.9078999758 0.16982099410.369580000656.29999923710.9389500022 0.13138000670.690980017257.90000152590.9336299896 0.06598699840.144429996656.79999923710.9982100129 0.09273900090.031080000158.51 0.14577199520.181480005459.50.8451600075 0.1437689960.368000000758.40000152590.9085400105 0.17797699570.738659977961.29999923710.977150023 0.19014699760.360590010959.29999923710.9422799945 0.31099200250.754459977158.90000152590.5953000188 0.19494800270.553749978558.50.8158599734 0.26271200180.192310005459.70000076290.3082799911 0.12192100290.500630021157.09999847410.8028200269 0.08850400150.072310000754.09999847410.9549199939 0.34178298710.661310017160.59999847410.272089988 0.0772340.1132100001570.9521200061 0.1841569990.545180022758.90000152590.8957300186 0.23328199980.874400019659.29999923710.664659977 0.12380100040.198489993857.09999847410.9835699797 0.20753100510.394149988956.70000076290.617389977 0.11791999640.192800000358.09999847410.862950027 0.05692800130.085649997560.9420099854 0.20170499380.5181699991590.6871700287 0.23572500050.855459988158.40000152590.7576400042 0.21322500710.36893001253.50.9761599898 0.19085299970.218270003860.09999847410.704490006 0.11970099810.205300003357.70000076290.42227 0.086864002157.90000152590.9271500111 0.14234100280.340959996590.9787499905 0.17393800620.281929999656.79999923710.7959200144 0.20678199830.631290018658.29999923710.7265099883 0.13982999320.396670013758.59999847410.9419500232 0.5505319834160.20000076290.579069972
005_m0z2azo-dk5cva0h.xlsx
Answered Same DayDec 26, 2021

Answer To: DeathRate PctUrbPop AvgSpRural PctSurf 0.20962 0.38322 58.9 0.94404 0.23077 0.54711 58.2 0.59767...

Robert answered on Dec 26 2021
121 Votes
1. Scatter plots are drawn for each independent variable and dependent variable using SPSS.
Enter the data in SPSS.
Go to graphs, select legacy dialogs, and select Scatter/Dot.
Select Simple scatter and click Define.
Move Death rate to y axis, the death rates is the dependent variable and move PCT Urban prop
(independent variable) to the X axis.
Click Ok.
Similarly, find the rest two scatter plots.
2.Now, find a correlation matrix using SPSS describing the relationship between the variables.
Go to Analyse, click Correlate and then select Bivariate.
Then move all the listed variables to the variables box:
The correlation matrix is given below:
The correlation between death rate and PctUrbpop is 0.594 which is a moderate positive
relationship.
The correlation between death rate and AvgSpRural is 0.305 which is a weak positive
relationship.
The correlation between death rate and PctSurf is -0.556 which is a moderate negative
relationship....
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