. Question 1 If the correlation coefficient is negative, this means there is no correlation between the variables the test statistic, t, can not be calculated ii," the slope of the regression line is negative " the regression line can be used for prediction {3 the calculation was done wrong there is a strong correlation between the variables Hint: Help Question Help: 8 Message instructor 0 Question 2 If the correlation coefficient is negative, this means the test statistic, t, can not be calculated the calculation was done wrong 1.7.," the slope of the regression line is negative 1.: there is no correlation between the variables i there is a strong correlation between the variables .5 the regression line can be used for prediction Question Help: a Message instructor 3 A researcher Wishes to examine the relationship between years of schooling completed and the number of pregnancies in young women. Her research discovers a linear relationship, and the least squares line is: y = 2 5m where x is the number of years of schooling completed and y is the number of pregnancies. The slope of the regression line can be interpreted in the following way: When amount of schooling increases by one year, the number of pregnancies tends to decrease by Z. . When amount of schooling increases by one year, the number of pregnancies tends to increase by Z. , When amount of schooling increases by one year, the number of pregnancies tends to increase by 5. When amount of schooling increases by one year, the number of pregnancies tends to decrease by 5. Question Help: 8 Message instructor 0 Question 4 B 0/1 pt '0 3 Z 99 If the equation of the regression line that relates income in dollars of student's parents, z , with cost in dollars of tuition, y , is y = 8000 + 0.02s: , then the slope tells us that for every dollar increase in tuition, student's parent's income tends to be 2 cents higher. ' . false true Hint: Help Question Help: 8 Message instructor 0 Question 5 30/1 pt '0 3 299 5 Sally decides to make and sell necklaces to earn money to buy a new computer. She plans to charge S 5.00 per necklace. The function R(n) : 5.00n describes the revenue, Rm), she will make by selling What is the y-intercept of this function, and what does it mean? $5.00, which means that when Sally sells 0 necklaces, she has made $5.00 $5.00, which means she makes $5.00 on each necklace. $0, which means that when Sally has sold 0 necklaces, she has made $0. $0, which means she makes $0 on each necklace. Question Help; B Message instructor 0 Question 6 G'O/1pt'03 399 The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995 From 1985 to 2003, the number B of federally insured banks could be approximated by B(t) = 7 323.41 + 13794 where t is the year and t=0 corresponds to 1985. ? Y R t 'l S I How many federally insured banks were there in 1990? [: m 0 85.851 3 108.426 Find the slope of the graph of B. 6 141]\" 9 169.256 Interpret this slope as a rate of change. Choose the correct answer below, 12 202.297 The number of banks decreased by 323.4 banks per year 15 222166 The number of banks increased by 12177 banks per year Let y be the retails sales in billions of dollars in a: years since 1995. A linear model for the data is The number of banks increased by 323.4 banks per year y = 9,449; + 84182. The number of banks decreased by 12177 banks per year The number of banks decreased by 13794 banks per year 220 /' The number of banks increased by 13794 banks per year :22 . 190 180 Find the y-intercept of the graph of B, 170 / The y-intercept is 160 150 Interpret the y-intercept. Choose the correct answer below. 140 / The y-intercept is the number of banks in 1985 130 120 The y-Intercept Is the number of banks in 2003 110 / The y-intercept is the number of banks in 1990 100 The y-intercept is the minimum number of banks allowed in the country My 12 (1'; 80 l The y-intercept is the maximum number of banks allowed in the country A) Use the above scatter plot to decide whether the line of best fit, fits the data well. Question Help: 8 Message instructor The function is not a good model for the data The function is a good model for the data, 0 Question 7 B 0/1 pt '0 3 Z 99 B) To the nearest billion, estimate the retails sales in the U, S. in 2017. billions of dollars. C) Use the equation to find the year in which retails sales will be $239 billion. Question Help: 8 Message instructor The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year Retail Sales 0 85.351 3 108.426 6 141.781 9 169.256 12 202.297 15 222.266 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.441: + 84182. 220 /' 210 200 0 190 180 17a / 160 150 140 / 130 120 110 3 100 90 my 12 6; Use the above scatter plot to decide whether the linear model fits the data well. The function is a good model for the data. The function is not a good model for the data Estimate the retails sales in the U. S. in 2015. billions of dollars. Use the model to predict the year in which retails sales will be $230 billion. Question Help: 8 Message instructor 0 Question 9 E 0/1 pt '0 3 z 99 The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states, at: 11.7 8.6 6.8 3.3 2.4 2.6 2.7 0.5 31 13.9 11.1 9.7 6.6 5.8 6 6 4.2 at = thousands of automatic weapons 3/ = murders per 100,000 residents This data can be modeled by the equation 9 = 0.871 + 3.73, Use this equation to answer the following; A) How many murders per 100,000 residents can be expected in a state with 7.2 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 10.9 thousand automatic weapons? Answer = Round to 3 decimal places. Question Help: I] Video E Message instructor 0 Question 10 E 0/1 pt '0 3 3 99 The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states, at: 11.7 8.6 6.6 3.6 2.3 2.3 2.7 0.3 y 14.1 11.5 9.6 7.1 6.3 6.2 6 4.1 a: = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 9 = 0.879: + 3.99, Use this equation to answer the following; A) How many murders per 100,000 residents can be expected in a state with 9 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 6.4 thousand automatic weapons? Answer = Round to 3 decimal places. Question Help: 8 Message instructor