At a recent music concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the beginning of the year. The following data were collected. Age Number of concerts 626575404493675545432656543411 Age Number of Concerts 443482554605594635694402381523 SUMMARY OUTPUT Reqression Statiatics Multiple R R Square Adjusted R Square Standard Error Observations 0.802030.643260.623440.9396520 DESCRIPTIVE STATISTICS Age Mean Standard Error Standard Deviation Sample Variance Count 532.18499.771195.473720 Concerts Mean Standard Error Standard Deviation Sample Variance Count 3.650.34241.53132.344720
SPEARMAN RANK CORRELATION COEFFICIENT =0.8306
ANOVA Regression Residual Total df 11819 SS 28.6571115.8928944.55 MS 28.657110.88294F32.45653 Significance F 2.1082E−05
Intercept Age Coefficients −3.011520.12569Standard Error 1.188020.02206 t Stat −2.534915.69706 P-value 0.020740.00002 Lower 95%−5.507460.07934 Upper 95% −0.51560.1720 a. Draw a scatter diagram of the data to determine whether a linear model appears to be appropriate to describe the relationship between the age and number of concerts attended by the respondents.
b. Determine the least squares regression line.
c. Plot the least squares regression line.
d. Interpret the value of the slope of the regression line.
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