Question: Need help with these preCalc practice questions. Question 1 1 pt 5-5 5- 4-5- Time (minutes) 35 1940 1960 Year 1980 2000 2020 The winning

 Need help with these preCalc practice questions. Question 1 1 pt5-5 5- 4-5- Time (minutes) 35 1940 1960 Year 1980 2000 2020The winning times (in minutes) in the women's 400 - meter freestyleswimming event in the Olympics from 1948 to 2016 is given in

Need help with these preCalc practice questions.

the graph above. The regression equation is given by: Time (in minutes)= -0.018 (year) +40.185 The given r value for this relationship is:r= - 0.8958 What does the rvalue tell us about the relationshipbetween the year and the winning time in the 400 - meter

Question 1 1 pt 5-5 5- 4-5- Time (minutes) 35 1940 1960 Year 1980 2000 2020 The winning times (in minutes) in the women's 400 - meter freestyle swimming event in the Olympics from 1948 to 2016 is given in the graph above. The regression equation is given by: Time (in minutes) = -0.018 (year) +40.185 The given r value for this relationship is: r= - 0.8958 What does the rvalue tell us about the relationship between the year and the winning time in the 400 - meter freestyle ? O In the year 1948, the time for the 400 meter freestyle even was 0.8958 minutes slower than in the year 2016. Since r is negative, there is a very weak relationship between the year and the time. During the years 1948 - 2016, the time in the 400 meter freestyle decreases by about 0.8958 minutes per year. O For the years 1948 - 2016, there is a moderately linear negative relationship between the year and the winning time in the 400 meter freestyle.. As the year increases, the winning time decreases.Question 2 60 40 20 O 0 4 6 8x Tell whether the data have a positive correlation, a negative correlation, or approximately no correlation. O positive correlation O negative correlation O approximately no correlation.Question 4 1 .180 Sales (in thousands) 500 1994 1998 1898 2000 2002 2004 2004 Year The sales (in 1000's) for a local car rental company during the time period 1995-2006 is shown in the graph above. The regression equation for these data is: Sales (in 1000's) = 38.213 (year) - 75818.8. Assuming the trend continues through 2009, what is the predicted sales for this car rental company in the year 2009? O $ 913,506 O $ 989,933 O $ 875,293 O $ 951,117Question 5 1 pts -1000 Sales (in thousands) 500 1994 1996 1998 2000 2002 2004 2006 Year The sales (in 1000's) for a local car rental company during the time period 1995-2006 is shown in the graph above. Which of the following best describes the relationship between year and sales? (Select all that apply.) O weak Linear O Decreasing Increasing O Non linear O Moderately Strong Postive

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