Question 1 A regression was run to determine whether there is a relationship Tries between hours of TV watched per day () and number of sit-ups remaining: 3 a person can do (y). Points out of 2.00 The results of the regression are given below. Use this to predict the number of sit-ups a person who watches 11 hours of TV can Flag question do. . y = ax + b . a = -1.341 . b = 32.234 . r = -0.896 Using the information above, we can conclude that a person who watches 11 hours of TV can do sit-ups. Type your answer rounded to the nearest hundredth. The r value indicates a CheckQuestion 2 Use this tool to make a scatter plot for the data provided and to Tries create linear regression equation. remaining: 3 Points out of 3.00 0 2 4 6 8 10 Flag question -22 -19 -15 -11 -6 -2 Type your linear regression line of best fit in slope intercept form (y = mx + b). Do not put any spaces between your characters and round your values to the nearest hundredth y = Does the data appear to be linear? Use this tool to find the r-value. Type the r value to the nearest thousandth. CheckQuestion 3 The U.S. Census tracks the percentage of persons 25 years or Tries older who are college graduates. That data for several years is remaining: 3 given in the table below. Points out of 3.00 Determine whether the trend appears linear. If so, and assuming Flag the trend continues, in what year will the percentage exceed question 35%? Year Percent Graduates 1990 21.3 1992 21.4 1994 22.2 1996 23.6 1998 24.4 2000 25.6 2002 26.7 2004 27.72000 25.6 2002 26.7 2004 27.7 2006 28 2008 29.4 Using this tool we find the linear regression line to be (round values to the hundredth place) y = Is the trend linear? Using this tool we find the r-value rounded to the thousandths place to be CheckQuestion 4 The U.S. import of wine (in hectoliters) for several years is given Tries in the table below. remaining: 3 Determine whether the trend appears linear. If so, and assuming Points out of 3.00 the trend continues, in what year will imports exceed 12,000 hectoliters? Flag question Year Imports 1992 2665 1994 2688 1996 3565 1998 4129 2000 4584 2002 5655 2004 65492002 2004 6549 2006 7950 2008 8487 2009 9462 Using this tool we find the linear regression line to be y = Type your answer without spaces or commas and rounded to the nearest hundredth. Imports will exceed 12,000 hectoliters in the year Using this tool we find the r-value rounded to the thousandths place to be CheckQuestion 5 Match the r-value with the scatterplot. Tries remaining: 3 Points out of 4.00 Flag question . (a) (b) . . (c) (d) r-value of 0.95 best matches with scatter plot(c) (d) r-value of 0.95 best matches with scatter plot r-value of -0.89 best matches with scatter plot 7-value of -0.26 best matches with scatter plot r-value of -0.39 best matches with scatter plot CheckThe r value indicates a V weak positive correlation Check strong negative correlation weak negative correlation strong positive correlationQuestion 1 The table below shows the year and the number of people Not yet unemployed in a particular city for several years. answered Determine whether the trend appears linear. If so, and assuming Points out of 3.00 the trend continues, in what year will the number of unemployed reach 5? Flag question Year Number Unemployed 1990 750 1992 670 1994 650 1996 605 1998 550 2000 510 2002 4602000 510 2002 460 2004 420 2006 380 2008 320 Using this tool we find the linear regression line to be y = Type your answer without spaces or commas and rounded to the nearest hundredth. The number of unemployed will be 5 in the year Round your answer to the year. Using this tool we find the r-value to be Round your answer to the thousandths place.Question 2 Use the information in the table below to make a scatter plot. Not yet answered Points out of 1 3 5 7 9 11 2.00 Flag 1 9 28 65 125 216 question You can make your scatter plot by hand and upload an image or you can plot the points on a tool like this and share the graph or image of the graph. Does the data fit a linear model or is there another model that it would better fit? A v B I E E S'S O C > IQuestion 3 Explain what a correlation coefficient (r-value) is and how we can Not yet use it to help us interpret a scatter plot. answered To earn full credit be sure to address the full range of possible Points out of 2.00 values for the r-value and their meaning. Flag question 7 B I WNA E E - G XQuestion 4 The profit of a company decreased steadily over a ten-year span. Not yet The following ordered pairs shows dollars and the number of answered units sold in hundreds and the profit in thousands of over the Points out of ten-year span, (number of units sold, profit) for specific recorded 4.00 years: Flag question (46, 1600), (48, 1550), (50, 1505), (52, 1540), (54, 1495) 1. Use this tool to find the linear regression line to determine a function where the profit in thousands of dollars depends on the number of units sold in hundreds. Share that equation here. 2. Find and interpret the x-intercept. What does it represent? 3. Find and interpret the y-intercept. What does it represent? 4. Use your linear regression to predict when the profit will be $500. To earn full credit for this share all work and calculations used to answer this.Question 5 A regression was run to determine whether there is a relationship Not yet between the diameter of a tree (x, in inches) and the tree's age ( answered y, in years). Points out of 2.00 The results of the regression are given below. Use this to predict the age of a tree with diameter 10 inches. Flag question . y = ax + b . a = 6.301 . b = -1.044 . r = -0.970 Using the information above, we can conclude that a tree with a diameter of 10 inches will be years old. Type your answer rounded to the nearest hundredth. The r value indicates a