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List and interpret from the least squares line: 0 = ______ Interpretation: _____

ID: 3352799 • Letter: L

Question

List and interpret from the least squares line:

0 = ______ Interpretation: ____________________________________________

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1 = ______ Interpretation: ____________________________________________

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S = ______ Interpretation: ____________________________________________

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P-value for 1: ______ Interpretation: ____________________________________

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>summary (df lm) Call: lm (formula= SweetIndex ~ Pectin, data=df) Residuals: Min 1Q Median 3Q Max 0.54373 -0.11039 0.06089 0.13432 0.34638 Coefficients: (Intercept) Pectin Estimate Std. Error t value Pr(>It!)

Explanation / Answer

Looking at the output, it can be inferred that Pectin is the independent variable and a regression analysis is performed based on that. Let Y be the dependent variable. We have-

Y= B0+B1*Pectin

Where B0 is the intercept and is given by,

B0= 6.252

It means that when Pectin=0, the value of the dependent variable will be 6.252

B1 is the coefficient of Pectin and is given by,

B1= -0.0023

It means that Y is dependent on Pectin level and it is inversely proportional and the correlation is given by the ectent of -0.0023

P-Value for B1 is given by Pr(>|t|) which is 0.0181

It means that the probability that the value of the coefficient will be greater than the critical value

Residual Standard Error, S= 0.215

We can use the standard error of the regression to assess the precision of the predictions.

Approximately 95% of the observations should fall within plus/minus 2*standard error of the regression from the regression line

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