question 23
Multiple Choice
SUMMARY OUTPUT
Regression Statistics Multiple R R square Adjusted R Square Standard Error Observations 0.2165435280.0468910990.0421016081155621.367201
ANOVA Regression Residual Total of 1199200SS1.30747E+132.65757E+142.78831E+14 MS 1.30747E+131.33546E+12 F 9.790411975 Significance F0.00201776
Intercept Yards Per Drive Coefficients −7,773,135.55830,737.523 Standard Error 2,867,254.7739,823.548 t Stat −2.7110027453.128963403 P-value 0.0072943640.00201776 Lower 95% −13,427,237,24011,365.913 Upper 95% −2,119,033.87750,109.132
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.