AllempL. T Orentertainment(in dollars)35+30-Xx25Español20+X x15-10-4.10121416182022Number of hours worked(a) For these 24 students, as the number of hours increases, the amount of money spent tends to (Choose one)5 ?(b) For these 24 students, there is (Choose one) v correlation between the number of hours worked and the amountof money spent.(c) Using the line of best fit, we would predict that a student working 8 hours would spend approximately(Choose one) ▼Submit AssignmentContinueTerms of Use Privacy Center Accessibity448 PM5/5/20220 2022 McGraw H LLC A Rights Reserved.73°F Partly sunnyO E n0O Type here to searchhphomeenddeleteort sc144numlockbacksppaceesc&982$6@2%233home国口国 The scatter plot shows the number of hours worked and money spent on entertainment by each of 24 students. Also shown is the line of best fit for the data.EspañolFill in the blanks below.7065-60-55-Amount of50-money spent on45-40-**entertainment(in dollars)35-30+2520-1510-101214161820Number of hours worked(a) For these 24 students, as the number of hours increases, the amount of money sper> tends to (Choose one)(b) For these 24 students, there is (Choose one) v correlation between the number of hours worked and the amountof money spent.ContinueSubmit AssignmentO 2022 McGrmw HI LLC. All Rights Reserved Terms of Use Privacy Center Accessibnity448 PM5/5/2022O Type here to searchD.73°F Partly sunnybphomeandDg up"prt scdeletehoe 104+escnum&7+ backspacelock#3%238924.613Phome国口回

From the above diagram, the answer can be given as, (a) For these 24 students, as the number of…

Answered: (a) For these 24 students, as the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with you. sales 75 77 69 63 79 80 77 70 73 87 72 73 80 80 69 84 77 72 74 81 temperature 32 36 31 31 34 29 32 35 28 31 30 31 29 35 36 28 32 33 32 33 Sale is in thousand liters and temperature is in degree Celsius. Data is Normally distributed You are required to determine the following information for some concrete decision: Determine the…
2. State whether the variables described have a positive correlation, a negative correlation, or no correlation. (a) Income and SAT scores (b) Length of a person's hair and how far they sit from the screen in a movie theater. (c) Hours of exercise per week and blood pressure.
A consumer goods company has been studying the effect of advertising on total profits. As part of this study, data on advertising expenditures (in thousands of dollars) and total sales (in thousands of dollars) were collected for a 5-month period and are as follows:(10, 100) (15, 200) (7, 80) (12, 120) (14, 150)The first number is advertising expenditures and the second is total sales. Plot the data and compute the correlation coefficient.
A particular professor has noticed that the number of people, P, who complain about his attitude is dependent on the number of cups of coffee, n, he drinks. From eight days of tracking he compiled the following data: People (P) 10 10 10 9 6 7 6 4 Cups of coffee (n) 1 2 2 3 4 4 5 5 Find the correlation coefficientr = Interpret the meaning of the slope of your formula in the context of the problem Use your model to predict the number of people that will complain about his attitude if he drinks 9 cups of coffee. How many cups of coffee should he drink so that no one will complain about his attitude? It is ok to round to one decimal place.
2. A researcher measures the relationship between temperature and freeway traffic, with a correlation of -0.61. We would say this relationship is: Negative and Moderate Negative and Strong Positive and Moderate Positive and Weak O o o O
The correlation between mean 2015 Mathematics SAT scores and mean 2015 Writing SAT scores for all 50 states and the District of Columbia is 0.983.0.983. Would one expect the correlation between the mean state SAT scores for these two tests to be lower, about the same, or higher than the correlation between the scores of individuals on these two tests?
5. You have a sample of 19 students and plan to determine if a linear relationship can be used to predict the SAT score as a function of the high school GPA. What value does the correlation coefficient need to exceed, according to the r√n> 3 rule, in order for you to be able to say that the correlation between the SAT score and the high school GPA is significant, instead of it having occurred by random chance? Write your answer as a decimal correctly rounded to three decimal places.
Suppose the correlation between height and weight for adults is +0.40.What proportion (or percent) of the variability in weight can be explained by the relationship with height?
e. Compute the covariance and correlation coefficient r between the right tire pressure. f. How do you know the relationship between pressure in the left and right tires is positive. g. What value would a correlation coefficient (r) be close to if there was no (linear) relationship between the 2 tire pressures?
A study of several cities shows a positive correlation between the percent of people late to work and the amount of pollution on the roadways. Which statement is most likely true?
The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 17.8 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 17.8 cm, what is the single value that is the best predicted height for that person? Click the icon to view the technology output. The single value that is the best predicted height is (Round to the nearest whole number as needed.) cm. Technology Output The regression equation is Height = 53.3+4.25 Foot Length Predictor Constant Coef SE Coef 53.28 11.44 Foot Length 4.2537 0.4699 S = 5.50739 R-Sq=72.3% R-Sq (adj) = 71.6% T 4.66 9.05 Predicted Values for New Observations New Obs 1 Fit SE Fit 128.996 1.733 (124.309, 133.683) 95% CI Foot New Obs Length 1 17.8 0.000 0.000 Values of Predictors for New…
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation

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