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Name/Notes Owner Created Size Views
Simple Linear Regression discussion 7d7e5d21e-cced-4a34-acdf-b13e60dd6259-102550_d2l_snhumlpOct 17, 2019174B1

Simple linear regression results:


Dependent Variable: Sales ($)
Independent Variable: Temp (F)
Sales ($) = -684.10945 + 16.546083 Temp (F)
Sample size: 12
R (correlation coefficient) = 0.95212667
R-sq = 0.90654519
Estimate of error standard deviation: 40.412483

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-684.10945110.9331 ≠ 010-6.1668650.0001
Slope16.5460831.6799691 ≠ 0109.8490399<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1158423.23158423.2397.003586<0.0001
Error1016331.6881633.1688
Total11174754.92
Simple Linear Regression - Ice Cream
ya779Oct 17, 20193KB4

Simple linear regression results:


Dependent Variable: Ht
Independent Variable: HtOpp
Ht = 194.63312 - 0.081144976 HtOpp
Sample size: 34
R (correlation coefficient) = -0.072975993
R-sq = 0.0053254956
Estimate of error standard deviation: 6.9834963

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept194.6331235.301954 ≠ 0325.513381<0.0001
Slope-0.0811449760.1960411 ≠ 032-0.413918190.6817

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model18.35554598.35554590.171328270.6817
Error321560.61548.76922
Total331568.9706
Simple Linear Regression
lizettegaleanoOct 15, 20193KB2

Simple linear regression results:


Dependent Variable: Days
Independent Variable: Packages
Days = 24 + 5.5511151e-16 Packages
Sample size: 50
R (correlation coefficient) = 0.41142157
R-sq = 0.16926771
Estimate of error standard deviation: 13.42417

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept241.9581164 ≠ 04812.256677<0.0001
Slope5.5511151e-161.7750194e-16 ≠ 0483.12735460.003

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model11762.51762.59.78034680.003
Error488650180.20833
Total4910412.5
Simple Linear Regression
aventura250Oct 15, 20193KB2

Simple linear regression results for POINTS=15 to 20:


Dependent Variable: POINTS
Independent Variable: MIN
POINTS = 19.614769 - 0.020264468 MIN
Sample size: 7
R (correlation coefficient) = -0.079641226
R-sq = 0.0063427249
Estimate of error standard deviation: 0.46266853

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept19.6147693.7651009 ≠ 055.20962640.0034
Slope-0.0202644680.11343069 ≠ 05-0.178650660.8652

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model10.00683202080.00683202080.0319160590.8652
Error51.07031080.21406217
Total61.0771429
Simple Linear Regression Nba scoring Leaders
jeremiahmack21Oct 15, 20193KB2

Simple linear regression results:


Dependent Variable: notinlaborforce
Independent Variable: unemployement
notinlaborforce = 306.61778 + 1.7730937 unemployement
Sample size: 50
R (correlation coefficient) = 0.42866994
R-sq = 0.18375792
Estimate of error standard deviation: 197.36898

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept306.6177844.016788 ≠ 0486.9659282<0.0001
Slope1.77309370.53938335 ≠ 0483.28726080.0019

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1420945.75420945.7510.8060840.0019
Error481869816.738954.516
Total492290762.5
Simple Linear Regression
jmcclendon233Oct 14, 20193KB1

Simple linear regression results:


Dependent Variable: MMNT
Independent Variable: MMXT
MMNT = -100.77217 + 0.97675964 MMXT
Sample size: 62
R (correlation coefficient) = 0.98631214
R-sq = 0.97281164
Estimate of error standard deviation: 15.769956

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-100.772173.4992159 ≠ 060-28.7985<0.0001
Slope0.976759640.021080903 ≠ 06046.333861<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1533897.56533897.562146.8266<0.0001
Error6014921.491248.69151
Total61548819.05

Residuals stored in new column: Residuals
Simple Linear Regression
c550cb7b-eab0-45ff-87e1-d2986690789f-39324_d2l_snhumlpOct 9, 20193KB8

Simple linear regression results:


Dependent Variable: Time
Independent Variable: Year
Time = 994.19341 - 0.39304496 Year
Sample size: 24
R (correlation coefficient) = -0.89075356
R-sq = 0.7934419
Estimate of error standard deviation: 6.7634302

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept994.1934183.377999 ≠ 02211.92393<0.0001
Slope-0.393044960.042755741 ≠ 022-9.1927996<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model13865.71313865.713184.507565<0.0001
Error221006.367845.743989
Total234872.0809
Simple Linear Regression
garcia876344Oct 9, 20193KB4

Simple linear regression results:


Dependent Variable: CHD Mortality (Deaths per 100,000)
Independent Variable: Cigarette Consumption (per adult per year)
CHD Mortality (Deaths per 100,000) = 15.641507 + 0.060175756 Cigarette Consumption (per adult per year)
Sample size: 21
R (correlation coefficient) = 0.73076183
R-sq = 0.53401286
Estimate of error standard deviation: 46.598254

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept15.64150729.509229 ≠ 0190.530054760.6022
Slope0.0601757560.012896025 ≠ 0194.66622510.0002

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model147279.2647279.2621.7736570.0002
Error1941256.5492171.3973
Total2088535.81
Simple Linear Regression
natalieruvalcaba17Oct 8, 20193KB8

Simple linear regression results:


Dependent Variable: CHD Mortality (Deaths per 100,000)
Independent Variable: Cigarette Consumption (per adult per year)
CHD Mortality (Deaths per 100,000) = 15.641507 + 0.060175756 Cigarette Consumption (per adult per year)
Sample size: 21
R (correlation coefficient) = 0.73076183
R-sq = 0.53401286
Estimate of error standard deviation: 46.598254

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept15.64150729.509229 ≠ 0190.530054760.6022
Slope0.0601757560.012896025 ≠ 0194.66622510.0002

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model147279.2647279.2621.7736570.0002
Error1941256.5492171.3973
Total2088535.81
Simple Linear Regression
natalieruvalcaba17Oct 8, 20193KB6
Simple Linear Regression3sophiemophieOct 7, 2019174B5
Simple Linear Regression2sophiemophieOct 7, 2019174B5

Simple linear regression results:


Dependent Variable: Final Grade in %
Independent Variable: Homework Average in %
Final Grade in % = 4.0338404 + 0.85334888 Homework Average in %
Sample size: 35
R (correlation coefficient) = 0.77973806
R-sq = 0.60799144
Estimate of error standard deviation: 8.7339465

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept4.033840410.881235 ≠ 0330.370715320.7132
Slope0.853348880.11928029 ≠ 0337.1541482<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model13904.24373904.243751.181836<0.0001
Error332517.300176.281822
Total346421.5438

Residuals stored in new column: Residuals
Simple Linear Regression
sophiemophieOct 7, 20193KB5
Simple Linear Regressionabaqaiee1Oct 7, 2019174B7

Simple linear regression results:


Dependent Variable: How many years have you worked in your field?
Independent Variable: How many hours do you work in a typical week?
How many years have you worked in your field? = 10.747124 - 0.0073289678 How many hours do you work in a typical week?
Sample size: 100
R (correlation coefficient) = -0.0093764432
R-sq = 0.000087917687
Estimate of error standard deviation: 8.3823822

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept10.7471243.5176604 ≠ 0983.0551910.0029
Slope-0.00732896780.078953713 ≠ 098-0.0928261330.9262

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model10.605446030.605446030.00861669090.9262
Error986885.904670.264332
Total996886.51
Simple Linear Regression Correlation Coefficient N1 vs. N2
jholdahOct 6, 20193KB5

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