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nterpret the slope and the intercept. What is the Pearson correlation coefficient (r) and interpret?

nterpret the slope and the intercept. What is the Pearson correlation coefficient (r) and interpret?

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 68E
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Interpret the slope and the intercept. What is the Pearson correlation coefficient (r) and interpret?

Restaurant Website Hits (x) Weekly revenue $ (y) John's Café 1,213 12,113 Buccan 1,490 11,409 New City Diner 1,365 14,579 Black Pearl 1,455 11,605 Saratoga 1,269 12,308 Burnt Toast 1,632 12,320 University Seat 1,323 13,225 Jimmy's Maroon and Orange 1,865 13,652 1,590 13,893 Burger Place 1,878 13,896
Transcribed Image Text:Restaurant Website Hits (x) Weekly revenue $ (y) John's Café 1,213 12,113 Buccan 1,490 11,409 New City Diner 1,365 14,579 Black Pearl 1,455 11,605 Saratoga 1,269 12,308 Burnt Toast 1,632 12,320 University Seat 1,323 13,225 Jimmy's Maroon and Orange 1,865 13,652 1,590 13,893 Burger Place 1,878 13,896
SUMMARY OUTPUT Y = 1.67+ 10,382.37x Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.357111239 0.127528437 0.018469492 1078.961437 Observations 10 ANOVA df SS MS Significance F Regression 1 1361311.738 1361311.738 1.169353294 0.311050553 Residual 8. 9313262.262 1164157.783 Total 10674574 t Stat Upper 95% 15808.53709 Coefficients Standard Error P-value Lower 95% Lower 95.0% Upper 95.0% 10382.37282 Intercept Website Hits (x) 2353.059211 4.412287105 0.002249526 4956.208544 4956.208544 15808.53709 1.669514048 1,543893028 1.081366401 0.311050553 -1.89070966 5.229737756 -1.89070966 5.229737756 RESIDUAL OUTPUT PROBABILITY OUTPUT Predicted Weekly revenue $ (y) Weekly revenue $ (y) 11409 Observation Residuals Standard Residuals Percentile 1. 12407.49336 -294.4933559 -0.289498181 5 12869.94875 -1460.948747 -1.436168241 15 11605 3 12661.25949 1917.740509 1.885211934 25 12113 4 12811.51576 -1206.515755 -1.186050923 35 12308 12500.98614 -192.9861426 -0.189712726 45 12320 6 13107.01974 -787.0197419 -0.77367037 55 13225 7 12591.1399 633.8600989 0.62310861 65 13652 13496.01652 155.9834849 0.153337704 75 13893 9 13036.90015 856.0998481 0.841578745 85 13896 10 13517.7202 378.2798023 0.371863448 95 14579
Transcribed Image Text:SUMMARY OUTPUT Y = 1.67+ 10,382.37x Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.357111239 0.127528437 0.018469492 1078.961437 Observations 10 ANOVA df SS MS Significance F Regression 1 1361311.738 1361311.738 1.169353294 0.311050553 Residual 8. 9313262.262 1164157.783 Total 10674574 t Stat Upper 95% 15808.53709 Coefficients Standard Error P-value Lower 95% Lower 95.0% Upper 95.0% 10382.37282 Intercept Website Hits (x) 2353.059211 4.412287105 0.002249526 4956.208544 4956.208544 15808.53709 1.669514048 1,543893028 1.081366401 0.311050553 -1.89070966 5.229737756 -1.89070966 5.229737756 RESIDUAL OUTPUT PROBABILITY OUTPUT Predicted Weekly revenue $ (y) Weekly revenue $ (y) 11409 Observation Residuals Standard Residuals Percentile 1. 12407.49336 -294.4933559 -0.289498181 5 12869.94875 -1460.948747 -1.436168241 15 11605 3 12661.25949 1917.740509 1.885211934 25 12113 4 12811.51576 -1206.515755 -1.186050923 35 12308 12500.98614 -192.9861426 -0.189712726 45 12320 6 13107.01974 -787.0197419 -0.77367037 55 13225 7 12591.1399 633.8600989 0.62310861 65 13652 13496.01652 155.9834849 0.153337704 75 13893 9 13036.90015 856.0998481 0.841578745 85 13896 10 13517.7202 378.2798023 0.371863448 95 14579
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