Perform the Overall F-test to show that your model is not a good fit using the following data
subject's height (Y) | mother's height (x1) | father's height (x2) |
64 | 66 | 70 |
64 | 61 | 69 |
67 | 60 | 69 |
63 | 64 | 70 |
66 | 64 | 72 |
75 | 66 | 71 |
67 | 61 | 69 |
64 | 65 | 65 |
74 | 69 | 69 |
72 | 63 | 72 |
Perform the Overall F-test to show that your model is not a good fit using the...
Problem #1: Consider the below matrix A, which you can copy and paste directly into Matlab. The matrix contains 3 columns. The first column consists of Test #1 marks, the second column is Test # 2 marks, and the third column is final exam marks for a large linear algebra course. Each row represents a particular student.A = [36 45 75 81 59 73 77 73 73 65 72 78 65 55 83 73 57 78 84 31 60 83...
3. Outliers: For the “Height in Inches” data, compute a z-score for each record and create a histogram of the transformed data (test different bin widths). What percentage of z-scores lie between -1 and 1? Between -2 and 2? Between -3 and 3? Do the data correspond to the expected features of a “symmetric-mound shaped distribution”? HEIGHT DATA 67 67 68 68 74 69 71 66 64 64 66 68 68 72 72 67 67 66 67 69 71...
Use the accompanying data set on the pulse rates (in beats per minute) of males to complete parts (a) and (b) below. LOADING... Click the icon to view the pulse rates of males. a. Find the mean and standard deviation, and verify that the pulse rates have a distribution that is roughly normal. The mean of the pulse rates is 71.871.8 beats per minute. (Round to one decimal place as needed.) The standard deviation of the pulse rates is 12.212.2...
4. Box-Plot: Create a box-plot for the “Car Mileage” and the “Height in Inches” data on separate graphs. Use Microsoft Excel to compute the essential features of the box-plot (Median, Quartiles, IQR, Outliers). You can create your box plots by hand on a separate sheet of graph paper. Be sure to indicate the key features of a box-plot on your graph, namely, the median, lower and upper quartiles, inner and outer fences and be sure to indicate outliers. Comment on...
estimate the average age at which multiple sclerosis patients were diagnosed with the condition for the first time in a given city. How big should the sample be? Define your procedures for this estimate (if necessary, set your own values of unknown parameters, based on statistical theory). In Table 1 you will find all ages of this patient population. 54 58 56 48 62 59 55 56 60 52 53 61 56 56 53 37 71 62 39 61 54...
1. Forecast demand for Year 4.
a. Explain what technique you utilized to forecast your
demand.
b. Explain why you chose this technique over others.
Year 3 Year 1 Year 2 Actual Actual Actual Forecast Forecast Forecast Demand Demand Demand Week 1 52 57 63 55 66 77 Week 2 49 58 68 69 75 65 Week 3 47 50 58 65 80 74 Week 4 60 53 58 55 78 67 57 Week 5 49 57 64 76 77...
1. The concept of fitting a line to bivariate data has been attributed to Francis Galton in an 1885 study of the heights of parents and their adult children. The table below presents the heights for a group of fathers and their adult sons. Create a scatter plot of the data. Find the least squares regression line of the son's height (y) on the father's height (x), and plot it on the scatter plot. Test the hypothesis that the slope...
Use the Grouped Distribution method for the following exercise (see Self-Test 2-4 for detailed instructions), rounding each answer to the nearest whole number. Using the frequency distribution below (scores on a statistics exam taken by 80 students), determine:ion 1 of the preliminary test (scores on a statistics exam taken by 80 students), determine: 68 84 75 82 68 90 62 88 76 93 73 79 88 73 60 93 71 59 85 75 61 65 75 87 74 62 95...
Use the Grouped Distribution method for the following exercise (see Self-Test 2-4 for detailed instructions), rounding each answer to the nearest whole number. Using the frequency distribution below (scores on a statistics exam taken by 80 students), determine:ion 1 of the preliminary test (scores on a statistics exam taken by 80 students), determine: 68 84 75 82 68 90 62 88 76 93 73 79 88 73 60 93 71 59 85 75 61 65 75 87 74 62 95...
Problem 8.4: Refer to Muscle Mass Problem 1.27. Second-order regression model (8.2) with independent normal error terms is expected to be appropriate. A. Fit regression model (8.2). Plot the fitted regression function and the data. Does the quadratic regression function appear to be a good fit here? Find R^2. B. Test whether or not there is regression relation; use α= .05. State the alternatives, decision rule and conclusion. C. Estimate the mean muscle mass for women aged 48...