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SUMMARY OUTPUT  Figure 4.1\text { Figure } 4.1 -Suppose You Are Given the Excel Output in 4

question 23

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SUMMARY OUTPUT
 Regression Statistics  Multiple R 0.216543528 R square 0.046891099 Adjusted R Square 0.042101608 Standard Error 1155621.367 Observations 201\begin{array}{lc}\hline \text { Regression Statistics } & \\\hline \text { Multiple R } & 0.216543528 \\\text { R square } & 0.046891099 \\\text { Adjusted R Square } & 0.042101608 \\\text { Standard Error } & 1155621.367 \\\text { Observations } & 201 \\\hline\end{array}

 ANOVA  of SS MS  F  Significance F Regression 11.30747E+131.30747E+139.7904119750.00201776 Residual 1992.65757E+141.33546E+12 Total 2002.78831E+14\begin{array}{l}\text { ANOVA }\\\begin{array}{lccccc}\hline & \text { of } & S S & \text { MS } & \text { F } & \text { Significance } F \\\hline \text { Regression } & 1 & 1.30747 E+13 & 1.30747 E+13 & 9.790411975 & 0.00201776 \\\text { Residual } & 199 & 2.65757 E+14 & 1.33546 E+12 & \\\text { Total } & 200 & 2.78831 E+14 & & \\\hline\end{array}\end{array}

 Coefficients  Standard Error  t Stat  P-value  Lower 95%  Upper 95%  Intercept 7,773,135.5582,867,254.7732.7110027450.00729436413,427,237,2402,119,033.877 Yards Per Drive 30,737.5239,823.5483.1289634030.0020177611,365.91350,109.132\begin{array}{lcccccc}\hline & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & -7,773,135.558 & 2,867,254.773 & -2.711002745 & 0.007294364 & -13,427,237,240 & -2,119,033.877 \\\text { Yards Per Drive } & 30,737.523 & 9,823.548 & 3.128963403 & 0.00201776 & 11,365.913 & 50,109.132 \\\hline\end{array}

 Figure 4.1\text { Figure } 4.1
-Suppose you are given the Excel output in 4.1.You would conclude that the number of golfers in the sample is


Definitions:

Variables

Elements, features, or factors that can change or vary in an experiment or study, potentially influencing the outcome.

Types of Variables

Categories of variables in research, including independent, dependent, and control variables, among others.

Values of Variables

The specific amounts or categories that variables can take on in data collection and analysis.

Numeric Value

A quantitative measure expressed as a number, which represents a specific quantity or amount.

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