MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Explain the term Continuous Quantitative Data?
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- The manager of a car dealership wants to predict the relationship between number of sales persons and the number of cars sold. He collects some data to develop a regression model, which is given below Week Number of cars sold Number of salespersons 1 80 6 2 90 8 3 48 4 4 55 5 5 60 7 6 75 9 7 100 11 8 70 6 9 65 7 10 98 10 (i) Run a regression analysis which explains the number of cars sold in terms of number of salespersons, and estimate the regression line (ii) Interpret the regression coefficient, and determine the significance of the regression coefficient (iii) Interpret the overall model fit…arrow_forwardFor the data below, what is the value of "b" for the regression equation? Family Father Son 120 121 110 105 120 125 92 87 85 92 72 90 107 110 115 122 155 133 90 123arrow_forwardThe equation of a regression line, unlike the correlation, depends on the units we use to measure the explanatory and response variables. Here is the data on percent body fat and preferred amount of salt. Preferred amountof salt x 0.2 0.3 0.4 0.5 0.6 0.8 1.1 Percent body fat y 21 30 23 30 39 24 31 In calculating the preferred amount of salt, the weight of the salt was in milligrams. (a) Find the equation of the regression line for predicting percent body fat from preferred amount of salt when weight is in milligrams. (Round your answers to one decimal place.) ŷ = + x (b) A mad scientist decides to measure weight in tenths of milligrams. The same data in these units are as follows. Preferred amountof salt x 2 3 4 5 6 8 11 Percent body fat y 21 30 23 30 39 24 31 Find the equation of the regression line for predicting percent body fat from preferred amount of salt when weight is in tenths of milligrams. (Round your intercept to one decimal place and your slope to two…arrow_forward
- See attached image for the introduction. How much variation in price has been explained by the total number of square feet?arrow_forwardIf you want to use the build-down method to test a model using age (in number of years) and sex (male or female) to predict income, how large a data set would you need to collect: 8 8 8 8 20 50 40arrow_forwardIs the statement below true or false?Continuous is the type of quantitative data that is the result of measuring.arrow_forward
- 2. Which model-linear, quadratic, or exponential-seems most appropriate for this scatter plot? Xarrow_forwardParagraph Styles 1. Police investigators and forensic scientists can often predict the height of a suspect just from a footprint that was left behind at a crime scene. This is because the size of a person's foot tends to relate to the height of a person. As you might already know, this is a positive relationship. The taller the person, the larger their feet tends to be. Data given below: Length of footprint (cm) Height (cm) a) Determine the least squares regression line 29.8 29.3 27.5 31.1 32.6 22.5 176.1 179.4 172.2 184.2 179.0 157.3 b) Determine the linear correlation coefficient c) Create a scatter plot to display the data and draw the line of best fit.arrow_forward“Number of times per week” is what type of data? a. qualitative b. quantitative discrete c. quantitative continuous Also explain why/how it is the answer you chosearrow_forward
- just the last part thank youarrow_forwardThe data from the table below gives a regression that is a) reliable. b) unreliable. c) unable to determine the reliability.arrow_forwardDiscuss the reasons and situations in which researchers would want to use linear regression. How would a researcher know whether linear regression would be the appropriate statistical technique to use? What are some of the benefits of fitting the relationship between two variables to an equation for a straight line?arrow_forward
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