Consider the following table summarizing the speed limit of a certain road and the number of accidents occurring on that road in January.
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1) Find the slope of the regression line predicting the number of accidents from the posted speed limit. Round to 3 decimal places.
2) Find the intercept of the regression line predicting the number of accidents from the posted speed limit. Round to 3 decimal places.
3) Predict the number of reported accidents for a posted speed limit of 31mph. Round to the nearest whole number.
Consider the following table summarizing the speed limit of a certain road and the number of...
Consider the following table summarizing the speed limit of a certain road and Tpe mumbersin the boses, the number of accidents occurring on that road in January. ツPart 1: 10 points g7 Part 2: 10 points Posted Speed Limit 55 45 42 38 2o 24 Part 3: 1 points 21 points Reported Number of Accidents 27 29 25 17 19 13 1) Find the slope of the regression line predieting the number of accidents from the posted speed limit. Round...
Consider the following table summarizing the speed limit of a certain road and Type numbers in the the number of accidents occurring on that road in January. Part 1:10 points boxes. Posted Speed Limit 53 49 44 36 21 23 * Part 2: 10 points Part 3: 10 points Reported Number of Accidents 25 28 20 17 18 14 30 points 1) Find the slope of the regression line predicting the number of accidents from the posted speed limit.Round to...
Mutant genes: In a study to determine whether the frequency of a certain mutant gene increases with age, the number of mutant genes per micro gram of DNA was counted for each of 15 men. The results are presented in the following table Age Number of Mutants 100 46 45 53 54 68 53 57 65 47 61 70 72 82 83 52 35 68 71 49 264 29 148 195 83 449 202 a. Compute the least-squares regression line...
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make...
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make...
4.(15 pts) For the following data used to predict number of yearly doctors' visits from number of pets owned: Pets Doc Visits 6 11 12 2 7 12 a. Find the slope b. Find the intercept c. Write out the equation of the regression line and predict the number of yearly doctors' visits for a person who owns 0 pets. 5. (12 pts) Using the data from question 4, assume you are now interested in predicting number of pets owned...
The following table shows both current and projected data on the number, in millions, of Facebook users in a certain country. t = years since 2012 F = number of Facebook users (millions) 0 9.2 1 10.5 2 11.3 3 11.7 4 13.1 5 13.2 6 14.3 (a) Plot the data. (b) Find the equation of the regression line. (Round regression line parameters to two decimal places.) F(t) = Add the graph of the regression line to the plot from...
6) Compute the least-squares regression line for predicting y from x given the following summary statistics. Round the slope and y -intercept to at least four decimal places. = x 8.8 = s x 1.2 = y 30.4 = s y 16 = r 0.60 Send data to Excel Regression line equation: = y 7)Compute the least-squares regression equation for the given data set. Use a TI- 84 calculator. Round the slope and y -intercept to at least four decimal...
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make...
The table below gives the number of parking tickets received in one semester and the GPA for five randomly selected college students who drive to campus. Using this data, consider the equation of the regression line, yˆ=b0+b1x , for predicting the GPA of a college student who drives to campus based on the number of parking tickets they receive in one semester. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember,...