fitting a straight line to a set of data yields the following prediction line. Predict the mean value of Y for x=4
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- A high school teacher at a small private school assigns trigonometry practice problems to be worked on via the net. Students must use a password to access the problems, and the time of log-in and log-off is automatically recorded for the teacher. At the end of the week, the teacher examines the amount of time each student spent working on the assigned problems. The data is provided below in minutes. Determine Mean, Median and Mode. 15 28 25 48 22 43 49 34 22 33 27 25 22 20 39Which correlation would allows for the best prediction of Y based on X? Group of answer choices r = .50 r = .80 r = .05 r = -.90Match the best graphic to be used for each scenario. To compare the choleterol levels between males and females v [ Chopse] box plot pie chart side by side box plot To display the breakdown of diet types (vegan, vegetarian, low carb, low fat)fat stem plot To describe the distribution of fasting blood [ Choose ] sugar levels among elderly diabetic patients To calculate the proportion of people in a study sample who weigh less than the [Choose] sample meanhah No new data to save. Last checked MacBook Air
- Which scatter plot shown has the strongest negative correlation?Calculate variance and co-efficient of variation from the following data: Class Interval : 12-16 16-20 20-24 24-28 28-32 32-36 Frequency: 2 8 18 10 6. 5The problem below looks at forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of York County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the regression equation for this data. Use the weeks (1-24) as the independent variable (x) and number of calls as the dependent variable (y). Once you have the equation, forecast weeks 4 through 24 (enter 4, 5, 6, etc. as the x…
- Use the following data to answer the following questions. You can use excel or any app. as calculator.46 93 5630 39 4524 48 4560 55 4547 62 7063 72 6145 72 6574 48 6373 55 4872 55 44 1. The mean value is __________. a. 55.8833 b. 55.5500 c. 45 d. 55.8333 2. The median value is __________. a. 55.8833 b. 55.5 c. 55 d. 45 3. The mode is __________. a. 55.8833 b. 45 c. 55 d. 55.8333 4. The range is __________. a. 67 b. 68 c. 69 d. 70 5. The first quartile is __________. a. 43 b. 44 c. 40 d. 45Part 2. Complete the following statements. A) The cumulative enrolment is the enrolment of the intervals smaller than the interval in question or equal to the latter. The graph of cumulative enrolment is represented by a function in B) The average, median and mode are three measures of of the C) The term refers to any data that deviates disproportionately from others. D) When the residual values are zero, then the correlation is calledThe problem below asks you to compare 4 different forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of Greenville County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 1. EXPONENTIAL SMOOTHING Compute the forecasts using α = .2. Calculate the MAD for weeks 4 through 24 only. Compute the forecasts using α = .6. Calculate the MAD for weeks 4 through 24 only. 2. SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the…
- W 1. X A tablet computer manufacturer claims that its batteries last an average of 10.5 hours when playing videos. The quality control department randomly selects 20 tablets from each day's production and tests the batteries by playing a video repeatedly until the battery dies. The quality control department will reject the batteries from that day's production run if the mean battery life is less than 10.5 hours. Here are the data from one day: 10.3 10.0 10.3 10.6 10.5 10.3 10.1 10.6 11.5 10.3 10.3 12.7 10.6 11.3 13.9 12.5 12.4 10.8 10.2 12.2 The quality control department will test the hypotheses where p true mean battery life (in hours) while playing videos for tablets made during that day. Check that the conditions for performing the test are met. Assume the population is normally distributed. 3 e d C Ho:μ = 50 Ha:μl < 50 $ 4 f 25 % V t 6 (6 b Y h ∞ 7 u n * 00 8 ¡ m ( 9 k O Sign out 1 р Mar 29 7A. Population ? B. Population mean ? C. Median ? F. IQR ? G. Population standard deviation ?H. population variance ?The histogram for data is attached: Does it form a bell shaped curve? explain what this means and how it applies.