Question 14
Let Y represent the profit (or loss) for a certain company X years after 1975. Based on the data shown below, a statistician calculates a linear model Y = -0.52X + 8.72.
use the model to estimate the profit in 1981
y = _______
Question 16
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. At the 0.01 significance level, does the data below show significant (linear) correlation between X and Y?
Yes, significant correlation
No
Question 17
Based on the data shown below, calculate the correlation coefficient (rounded to three decimal places)
Let Y represent the profit (or loss) for a certain company X years after 1975.
Let Y represent the profit (or loss) for a certain company X years after 1970. Based on the data shown below, a stat stican calculates a linear model y-Lise t 17.66 4 22.4 5 22.05 6 259 7 26.65 8 268 927.25 10 276 11 31.85 12 30.5 13 32.85 34 14 Use the model to estimate the profit in . 1978 Please round your answer to two decimal places y
Let ŷ represent the profit (in thousands of dollars) for a certain company xx years after 1965. A statistician calculates a linear model ŷ = 0.74xx + 4 Use the model to estimate the profit in 1975. Your answer should be in dollars, not thousands of dollars. Profit =$
Question 7 < > 50/2 pts 53 399 Details Let Y represent the profit (or loss) for a certain company X years after 1965. Based on the data shown below, a statistician calculates a linear model Ý = 1.09X + 24.64. X у 3 4 5 6 7 8 9 22.7 18.85 20.3 16.75 16.6 15.15 16.2 Use the model to estimate the profit in 1969 Ý - II
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = X + X y 3 4 5 6 22.68 21.35 21.42 22.69 22.66 19.73 20.9 Noo 9 The time spent studying for a test and the test scores are graphed below along with the best-fit line. e = 1.04...
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y. Use your calculator! x y 3 15.8 4 15.7 15.9 15.6 16.4 8 15.7 | 9 | 16.1 7 r = Question Help: Video D Post to forum Submit Question
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y 4 9.78 5 11.05 6 11.12 7 10.89 8 14.06 9 12.93 0 14.4 Points possible 1 으 の
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). 45.92 9.05 6 10.68 79.41 8 12.24 9 11.07 Get help: Video Box 1: Enter your answer as an integer or decimal number. Examples: 3.-4.5.5172 Enter DNE for Does Not Exist, oo for Infinity Box 2: Enter your answer as an...
Annual high temperatures in a certain location have been tracked for several years. Let Xrepresent the year and Ythe high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between Xand Y. x y 4 23.3 5 21.7 6 19 7 20.1 8 16.8 9 12.3 10 12.6 11 8.4 12 6.4 13 6.8 r=
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). X + X 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 у 29.45 30.06 25.37 26.48 23.19 23.4 22.01 17.42 15.13 14.24 14.65 12.76 8.97 9.78 8.79 4.6 Get help: Video Box 1:...
Question 1 50/2 pts 5399 Details Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = 9 Xy 4 6.92 5 6.21 6 10 7 7.39 8 6.18 8.17 10 7.96 9.75 12 6.84 13 6.93 14 7.32 15 6.81 16 9.5