Stats Module: Linear Regression/Making Predictions ASSIGNMENT Objective: I can use scatter plots to analyze and make predictions with the data. 1) The table shows data for cost of airfare vs the distance traveled. Destination: Atlanta Boston Chicago Dallas Detroit Denver Miami New Orleans New York Orlando Pittsburgh St. Louis Distance: Atlanta-576 Boston-370 Chicago-612 Dallas-1216 Detroit-409 Denver-1502 Miami-946 New Orleans-998 New York-189 Orlando-787 Pittsburgh-3700 St. Louis-3701 Airfare: Atlanta-3702 Boston-3703 Chicago-3704 Dallas-3705 Detroit-3706 Denver-3707 Miami-3708 New Orleans-3709 New York-6120 Orlando-6121 Pittsburgh-3703 St. Louis-6120 Answer the following questions using a calculator: a) Correlation from graph? Correlation coefficient from calculator? b) Line of Best Fit/Regression Line? c) Based on the regression line, what is the airfare for the destination that is 370 miles away? d) Based on the regression line, what is the airfare for the destination that is 1502 miles away? e) Based on the regression line, a fare of 6126 would reach a city of approximately of what distance? f) What airfare would the regression line predict to San Francisco, which is 6127 miles away. Why might this prediction be less accurate than others?
Q. Stats Module: Linear Regression/Making Predictions ASSIGNMENT Objective: I can use scatter plots to analyze and make predictions with the data. 1) The table shows data for cost of airfare vs the distance traveled. Destination: Atlanta Boston Chicago Dallas Detroit Denver Miami New Orleans New York Orlando Pittsburgh St. Louis Distance: Atlanta-576 Boston-370 Chicago-612 Dallas-1216 Detroit-409 Denver-1502 Miami-946 New Orleans-998 New York-189 Orlando-787 Pittsburgh-3700 St. Louis-3701 Airfare: Atlanta-3702 Boston-3703 Chicago-3704 Dallas-3705 Detroit-3706 Denver-3707 Miami-3708 New Orleans-3709 New York-6120 Orlando-6121 Pittsburgh-3703 St. Louis-6120 Answer the following questions using a calculator: a) Correlation from graph? Correlation coefficient from calculator? b) Line of Best Fit/Regression Line? c) Based on the regression line, what is the airfare for the destination that is 370 miles away? d) Based on the regression line, what is the airfare for the destination that is 1502 miles away? e) Based on the regression line, a fare of 6126 would reach a city of approximately of what distance? f) What airfare would the regression line predict to San Francisco, which is 6127 miles away. Why might this prediction be less accurate than others?
Define Variables: Let x be the number of hours it takes for Steven and Carly to fill the same number of baskets. Steven's equation is y=4x+15, where y is the total number of baskets.
Steven's Equation: Carly's equation is y=8x+11, where y is the total number of baskets.
Carly's Equation: Set the two equations equal to each other to find when they will have the same number of baskets: 4x+15=8x+11.
Set Equations Equal: Subtract 4x from both sides to get: 15=4x+11.
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