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2) Here are the world record race times for women in the 10,000-meter run over several years. Race Time |(seconds) | 2286.4 Year a) Which is the explanatory variable and which is the response variable? | 1967 b) Make a scatterplot of these data. You do not have to draw the scatterplot for me. Describe what you see (form, direction, 1970 2130.5 1975 2100.4 strength, outliers). 1975 2041.4 c) Write the equation of the regression line for predicting race time from year. 1977 1995.1 1979 1972.5 d) Give the meaning of the slope of your line in terms of race time and year. What are the units of the slope in this problem? 1981 1950.8 1981 1937.2 | 1982 e) What percent of the observed variation in the race times can be explained by your 1895.3 | 1983 1895.0 model? 1983 1887.6 f) Find the residual for the first data point on the list (the 2286.4 seconds from 1967). 1984 1873.8 1985 1859.4 g) What does this linear model predict for the race time in the year 2075? Do you think 1986 1813.7 this is reasonable? 1993 1771.8

2) Here are the world record race times for women in the 10,000-meter run over several years. Race Time |(seconds) | 2286.4 Year a) Which is the explanatory variable and which is the response variable? | 1967 b) Make a scatterplot of these data. You do not have to draw the scatterplot for me. Describe what you see (form, direction, 1970 2130.5 1975 2100.4 strength, outliers). 1975 2041.4 c) Write the equation of the regression line for predicting race time from year. 1977 1995.1 1979 1972.5 d) Give the meaning of the slope of your line in terms of race time and year. What are the units of the slope in this problem? 1981 1950.8 1981 1937.2 | 1982 e) What percent of the observed variation in the race times can be explained by your 1895.3 | 1983 1895.0 model? 1983 1887.6 f) Find the residual for the first data point on the list (the 2286.4 seconds from 1967). 1984 1873.8 1985 1859.4 g) What does this linear model predict for the race time in the year 2075? Do you think 1986 1813.7 this is reasonable? 1993 1771.8

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
Problem 10CT
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2) Here are the world record race times for women in the 10,000-meter run over several years. Race Time |(seconds) | 2286.4 Year a) Which is the explanatory variable and which is the response variable? | 1967 b) Make a scatterplot of these data. You do not have to draw the scatterplot for me. Describe what you see (form, direction, 1970 2130.5 1975 2100.4 strength, outliers). 1975 2041.4 c) Write the equation of the regression line for predicting race time from year. 1977 1995.1 1979 1972.5 d) Give the meaning of the slope of your line in terms of race time and year. What are the units of the slope in this problem? 1981 1950.8 1981 1937.2 | 1982 e) What percent of the observed variation in the race times can be explained by your 1895.3 | 1983 1895.0 model? 1983 1887.6 f) Find the residual for the first data point on the list (the 2286.4 seconds from 1967). 1984 1873.8 1985 1859.4 g) What does this linear model predict for the race time in the year 2075? Do you think 1986 1813.7 this is reasonable? 1993 1771.8
Transcribed Image Text:2) Here are the world record race times for women in the 10,000-meter run over several years. Race Time |(seconds) | 2286.4 Year a) Which is the explanatory variable and which is the response variable? | 1967 b) Make a scatterplot of these data. You do not have to draw the scatterplot for me. Describe what you see (form, direction, 1970 2130.5 1975 2100.4 strength, outliers). 1975 2041.4 c) Write the equation of the regression line for predicting race time from year. 1977 1995.1 1979 1972.5 d) Give the meaning of the slope of your line in terms of race time and year. What are the units of the slope in this problem? 1981 1950.8 1981 1937.2 | 1982 e) What percent of the observed variation in the race times can be explained by your 1895.3 | 1983 1895.0 model? 1983 1887.6 f) Find the residual for the first data point on the list (the 2286.4 seconds from 1967). 1984 1873.8 1985 1859.4 g) What does this linear model predict for the race time in the year 2075? Do you think 1986 1813.7 this is reasonable? 1993 1771.8
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