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Showing 1 to 15 of 4130 results matching Simple Linear Regression
Name/Notes Owner Created Size Views
Simple Linear Regressioncatcher017017Dec 10, 2018174B0

Simple linear regression results:


Dependent Variable: Waist (cm)
Independent Variable: Weight (kg)
Waist (cm) = 27.505263 + 0.79909294 Weight (kg)
Sample size: 40
R (correlation coefficient) = 0.93310583
R-sq = 0.87068649
Estimate of error standard deviation: 5.7804302

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept27.5052634.2447479 ≠ 0386.4798343<0.0001
Slope0.799092940.049957023 ≠ 03815.995608<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model18549.12788549.1278255.85947<0.0001
Error381269.708233.413373
Total399818.836
Weight (kg) & Waist (cm) Simple Linear Regression
guevaraaDec 9, 20183KB0

Simple linear regression results:


Dependent Variable: Weight (lbs)
Independent Variable: Height (in)
Weight (lbs) = -186.47059 + 4.7058824 Height (in)
Sample size: 8
R (correlation coefficient) = 0.79792117
R-sq = 0.6366782
Estimate of error standard deviation: 10.145993

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-186.4705994.582651 ≠ 06-1.97150940.0961
Slope4.70588241.4512799 ≠ 063.24257390.0176

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model11082.35291082.352910.5142860.0176
Error6617.64706102.94118
Total71700
Height (in) & Weight (lbs) Simple Linear Regression
guevaraaDec 9, 20183KB0

Simple linear regression results:


Dependent Variable: Test Grade (%)
Independent Variable: Hours Studied
Test Grade (%) = 34.616927 + 7.3496659 Hours Studied
Sample size: 13
R (correlation coefficient) = 0.92264987
R-sq = 0.85128278
Estimate of error standard deviation: 7.698063

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept34.6169274.7783872 ≠ 0117.2444791<0.0001
Slope7.34966590.92622174 ≠ 0117.9351041<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model13731.36893731.368962.965877<0.0001
Error11651.8619259.260174
Total124383.2308
Hours Studied & Test Grade Simple Linear Regression
guevaraaDec 9, 20183KB0

Simple linear regression results:


Dependent Variable: Fouls
Independent Variable: Points
Fouls = 1.5803172 + 0.30690586 Points
Sample size: 11
R (correlation coefficient) = 0.93536075
R-sq = 0.87489973
Estimate of error standard deviation: 3.4778662

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept1.58031721.4676851 ≠ 091.07674130.3096
Slope0.306905860.038684226 ≠ 097.9336177<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1761.32184761.3218462.94229<0.0001
Error9108.8599812.095554
Total10870.18182
Fouls & Points Simple Linear Regression
guevaraaDec 9, 20183KB0

Simple linear regression results:


Dependent Variable: LENGTH
Independent Variable: WEIGHT
LENGTH = 44.727632 + 0.075942472 WEIGHT
Sample size: 54
R (correlation coefficient) = 0.86440507
R-sq = 0.74719613
Estimate of error standard deviation: 5.4318422

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept44.7276321.3422074 ≠ 05233.323936<0.0001
Slope0.0759424720.0061257267 ≠ 05212.3973<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model14534.69974534.6997153.69305<0.0001
Error521534.255329.50491
Total536068.955
Simple Linear Regression
53411395_ecollege_puebloDec 9, 20183KB3

Simple linear regression results:


Dependent Variable: var2
Independent Variable: var1
var2 = 25.430696 + 3.2799822 var1
Sample size: 15
R (correlation coefficient) = 0.83328955
R-sq = 0.69437147
Estimate of error standard deviation: 3.8435765

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept25.43069610.099708 ≠ 0132.51796360.0257
Slope3.27998220.60353273 ≠ 0135.43463850.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1436.32729436.3272929.5352960.0001
Error13192.0500414.77308
Total14628.37733
Simple Linear Regression
Vinny C
castvtDec 9, 20183KB2

Simple linear regression results:


Dependent Variable: Square footage
Independent Variable: Asking Price
Square footage = 608.59943 + 0.0063700256 Asking Price
Sample size: 30
R (correlation coefficient) = 0.78658062
R-sq = 0.61870907
Estimate of error standard deviation: 392.2412

Parameter estimates:


ParameterEstimateStd. Err.DF96% L. Limit96% U. Limit
Intercept608.59943209.531228157.282881059.916
Slope0.00637002560.00094503339280.00433448520.0084055659

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model16990278.26990278.245.43474<0.0001
Error284307888.5153853.16
Total2911298167
Simple Linear Regression
mxl61111Dec 9, 20183KB2
Simple Linear Regressionmxl61111Dec 9, 2018174B3

Simple linear regression results:


Dependent Variable: Classes
Independent Variable: Units
Classes = -0.13529692 + 0.30528535 Units
Sample size: 47
R (correlation coefficient) = 0.9263053
R-sq = 0.8580415
Estimate of error standard deviation: 0.51763159

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-0.135296920.21901496 ≠ 045-0.617751950.5399
Slope0.305285350.018510846 ≠ 04516.492242<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model172.87875972.878759271.99406<0.0001
Error4512.0574110.26794247
Total4684.93617
Simple Linear Regression units/classes
hannahmartellDec 9, 20183KB2

Simple linear regression results:


Dependent Variable: Life Expectancy Difference by Sex
Independent Variable: Life Expectancy
Life Expectancy Difference by Sex = -9.1446404 + 0.21211472 Life Expectancy
Sample size: 40
R (correlation coefficient) = 0.72242359
R-sq = 0.52189585
Estimate of error standard deviation: 1.6965776

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-9.14464042.2240693 ≠ 038-4.11167060.0002
Slope0.212114720.032934293 ≠ 0386.4405427<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1119.39672119.3967241.48059<0.0001
Error38109.378282.8783757
Total39228.775
Simple Linear Regression
53674660_ecollege_uarkssoDec 6, 20183KB3

Simple linear regression results:


Dependent Variable: var2
Independent Variable: var1
var2 = 50.641929 + 4.8199577 var1
Sample size: 59
R (correlation coefficient) = 0.69772012
R-sq = 0.48681336
Estimate of error standard deviation: 12.026734

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept50.6419293.9559831 ≠ 05712.801351<0.0001
Slope4.81995770.6554842 ≠ 0577.3532783<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model17820.91247820.912454.070701<0.0001
Error578244.613144.64233
Total5816065.525
Simple Linear Regression
rogedestDec 6, 20183KB3

Simple linear regression results:


Dependent Variable: var3
Independent Variable: var1
var3 = 64.128644 - 0.6072613 var1
Sample size: 30
R (correlation coefficient) = -0.27503459
R-sq = 0.075644028
Estimate of error standard deviation: 5.5438016

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept64.12864428.487713 ≠ 0282.25109830.0324
Slope-0.60726130.40117041 ≠ 028-1.51372410.1413

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model170.42206970.4220692.29136050.1413
Error28860.544630.733736
Total29930.96667
Simple Linear Regression
45lykinsDec 6, 20183KB10

Simple linear regression results:


Dependent Variable: MMNT
Independent Variable: MMXT
MMNT = -92.990918 + 0.88330305 MMXT
Sample size: 61
R (correlation coefficient) = 0.9790639
R-sq = 0.95856612
Estimate of error standard deviation: 18.363226

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-92.9909183.8682014 ≠ 059-24.039833<0.0001
Slope0.883303050.023908399 ≠ 05936.945302<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1460273.97460273.971364.9554<0.0001
Error5919895.276337.20808
Total60480169.25
Simple Linear Regression
6d92b189-45c6-4df8-b7d3-aa8eb42bc15e-43002_d2l_snhumlpDec 6, 20183KB2
Simple Linear Regressiondbailey18Dec 5, 2018174B10

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