Question 1 2 pts (02.04) The predicted calories in soda based on grams of sugar are represented by the residual plot. 2111]] . 15.00 0 1111]] 5 .50 F3 a a 0 ll} 15 2!] Er 30 35 Residuals .U" D C: El Ll'l 40.00 45.00 -20.00 . 5.00 - Sugar in grams What does the pattern in the residual plot indicate about the type of model? The pattern is random. indicating a good t fora nonlinear model. 0 The pattern shows the points are far from the zero line, indication a good t for a linear model. 0 The pattern shows the points are far from the zero line, indicating a good t fora nonlinear model. 0 The pattern is not random. indicating a good t for a nonlinear model. 0 The pattern is random. indicating that the model is unable to be determined. Question 2 2 pts [02.04) The mean and standard deviation for the number of burglary crimes in the U.S. from 1995 to 2010 are :7: = 458,329 and sx = 29.437. The mean and standard deviation for number of theft crimes in the U.S. for the same time period are 3': = 733.294 and 5v = 45,377. The correlation coefcient is r = 0.39. Find the equation for the least-squares regression line for number of theft crimes compared with number of burglary crimes. 0 'i' = 473,672.51 + 0.5?x O 'F' = 0.5? + 473.6?251x O '3" = 1.3?I + 109498.28): 'F' = 109,498.28 + 13?): O Unable to determine the equation Question 3 2 pts [02 .04) Data collected on the depth of the Nile River and the speed at which the river travels are given in the table: Speed [ft/see} Find F2, and interpret the results. 0.88; The least-squares regression line. given by 1} = 1.68 - 0.121.. is a good t for the data. 0 O.94; The least-squares regression line. given bv i? = 1.68 0.123.. is a good fIt for the data. 0 0.88:. The least-squares regression line. given by 1? = O.12 + 1.681, is not a good t for the data. 0 O.94; "he least-squares regression line. given by i? = 0.12 + 1.6834. is not a good t for the data. O D_12;"he least-squares regression line. given bv i? = 1.68 + 0.881. is not a good t to the data. Question 5 2 pts [02 .04} The number of dogs a family has and the amount of floor cleaner used are known to have a strong positive association. Jaylen concluded that the number of dogs causes an increase in floor cleaner usage. ls Javlen's conclusion valid? Explain. O Javlen's conclusion is valid because association does imply.r causation. O Javlen's conclusion is not valid because association does not imply causation. O Javlen's conclusion is not valid because causation does not implvassociation. O Javlen's conclusion is valid because causation does implv association