Hi! I pretty much don't understand these problems that were presented on my Statistics class An engineer wants to determine how the weight of a car, x, affects gas mileage, y (MPG). The followingdata represent the weights of various cars and their miles per gallon.Make a scatter plot. (Carefullychoose units on both axes; no need tostart at 0, but make them not too small!Do not omit axis labels and the title.)Describe the relationshipbetween Car Weight and MPG.Justify. Give the correlationcoefficient to three decimalplaces. (CV are listed on the lastpage)CarWeight (pounds), xMiles per Gallon, yA B C D E2750 2940 3265 3765 412025.4 25.1 25.4 19.8 20.2If it makes sense, give the equation of the regression line (of MPG on pounds of weight; use at least 3significant, nonzero, digits) and draw this line on the plot (be precise! use a ruler.)Is the gas mileage (miles per gallon) of the car B above average or below average for cars of the sameweight? Justify.What is the best predictor of MPG for a car with weight of 5500 lb. (Be careful!) The graph of the discrete probability below represents the number of live births by a mother 46 to 51years old who had a live birth in 2017.Probability0.30-0.25-0.20-0.150.100.05-0.00-0places.)0.2390.2510.1690.1120.0970.036 0.04135Number of Live Births0.0558Find the means and standard deviation of the probability distribution. (Round to three decimalWhat is the probability that a randomly selected mother 46 to 51 years old who had a livebirth in2017 has had her first live birth in that year?What is the probability that a randomly selected mother 46 to 51 years old who had a livebirth in2017 has had her at most second live birth in that year?If a mother 46 to 51 years old who had a live birth in 2017 is randomly selected, how many live birthswould you expect the mother to have had? (Round to one decimal place if needed.)

Since you have asked multiple question, according to our guidelines we will solve the first question…

An engineer wants to determine how the weight of a car, x, affects gas mileage, y (MPG). The following data represent the weights of various cars and their miles per gallon. Make a scatter plot. (Carefully choose units on both axes; no need to start at 0, but make them not too small! Do not omit axis labels and the title.) Describe the relationship between Car Weight and MPG. Justify. Give the correlation coefficient to three decimal places. (CV are listed on the last page) Car Weight (pounds), x Miles per Gallon, y A B C D E 2750 2940 3265 3765 4120 25.4 25.1 25.4 19.8 20.2 'f it makes sense, give the equation of the regression line (of MPG on pounds of weight; use at least 3 significant, nonzero, digits) and draw this line on the plot (be precise! use a ruler.)

An engineer wants to determine how the weight of a car, x, affects gas mileage, y (MPG). The following data represent the weights of various cars and their miles per gallon. Make a scatter plot. (Carefully choose units on both axes; no need to start at 0, but make them not too small! Do not omit axis labels and the title.) Describe the relationship between Car Weight and MPG. Justify. Give the correlation coefficient to three decimal places. (CV are listed on the last page) Car Weight (pounds), x Miles per Gallon, y A B C D E 2750 2940 3265 3765 4120 25.4 25.1 25.4 19.8 20.2 'f it makes sense, give the equation of the regression line (of MPG on pounds of weight; use at least 3 significant, nonzero, digits) and draw this line on the plot (be precise! use a ruler.)

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter8: Sequences, Series, And Probability

Section8.7: Probability

Problem 63E: Determine if the statement is true or false. If the statement is false, then correct it and make it...

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