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Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
shwifty
1920691Dec 11, 20183KB0

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 46.985728 - 0.0054813297 weight
Sample size: 24
R (correlation coefficient) = -0.8994701
R-sq = 0.80904646
Estimate of error standard deviation: 2.6894402

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept46.9857282.3760445 ≠ 02219.774767<0.0001
Slope-0.00548132970.00056774291 ≠ 022-9.6545983<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1674.20538674.2053893.211269<0.0001
Error22159.127957.2330887
Total23833.33333

Residuals stored in new column: Residuals
Simple Linear Regression
math119tudentDec 11, 20183KB0

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 45.645359 - 0.0052220437 weight
Sample size: 25
R (correlation coefficient) = -0.86657872
R-sq = 0.75095868
Estimate of error standard deviation: 3.016149

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept45.6453592.6027584 ≠ 02317.537302<0.0001
Slope-0.00522204370.00062705303 ≠ 023-8.327914<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1630.92544630.9254469.354152<0.0001
Error23209.234569.0971547
Total24840.16

Residuals stored in new column: Residuals
My graph
math119tudentDec 11, 20183KB0

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 46.985728 - 0.0054813297 weight
Sample size: 24
R (correlation coefficient) = -0.8994701
R-sq = 0.80904646
Estimate of error standard deviation: 2.6894402

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept46.9857282.3760445 ≠ 02219.774767<0.0001
Slope-0.00548132970.00056774291 ≠ 022-9.6545983<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1674.20538674.2053893.211269<0.0001
Error22159.127957.2330887
Total23833.33333

Residuals stored in new column: Residuals
Simple Linear Regression Luigi Manikad
Ch12 Statcrunch Graph #1
manikadluigiDec 11, 20183KB0
Car Weight vs. Mileage - Ch.12 Statcrunch Assignment- RufinoalexrufinoDec 11, 2018174B0

Variable: var1



Decimal point is 1 digit(s) to the right of the colon.
Leaf unit = 1
4 : 23
4 : 6677899
5 : 0011112244444
5 : 555566677778
6 : 0111244
6 : 589

Stem and Leaf Plot
vemilyannDec 11, 2018215B1
Simple Linear RegressionpetersteDec 11, 2018174B0

One sample T summary hypothesis test:


μ : Mean of population
H0 : μ = 25
HA : μ > 25

Hypothesis test results:
New column, Mean, added to data table!
New column, Sample Mean, added to data table!
New column, Std. Err., added to data table!
New column, DF, added to data table!
New column, T-Stat, added to data table!
New column, P-value, added to data table!
One sample T summary hypothesis test
destinyarroyo1369Dec 11, 2018460B1

One sample T summary hypothesis test:


μ : Mean of population
H0 : μ = 25
HA : μ > 25

Hypothesis test results:
New column, Mean, added to data table!
New column, Sample Mean, added to data table!
New column, Std. Err., added to data table!
New column, DF, added to data table!
New column, T-Stat, added to data table!
New column, P-value, added to data table!
One sample T summary hypothesis test
destinyarroyo1369Dec 11, 2018460B1
Pie Chart - Android Loyaltyraul1990Dec 11, 2018174B1
Pie Chart - iPhone Loyaltyraul1990Dec 11, 2018174B2
Krissy2klb333Dec 11, 2018174B1

One sample proportion hypothesis test:


Outcomes in : sit with
Success : Steph Curry
p : Proportion of successes
H0 : p = 0.85
HA : p > 0.85

Hypothesis test results:
VariableCountTotalSample Prop.Std. Err.Z-StatP-value
sit with40470.851063830.052084220.0204251840.4919
One sample proportion hypothesis test
sharmnatorDec 11, 20181KB4
Krissyklb333Dec 11, 2018174B1
Scatter Plot - Age and Phone Hoursraul1990Dec 11, 2018174B4

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