1. What is the type of the correlation: strength and direction? a. marks on a history test and the heights of the students b. the number of defective light bulbs produced and the time of the day when they were manufactured c. the colour of cars sold and the annual income of the car buyers d. the height of corn in a field and the amount of precipitation during the growing season

1. What is the type of the correlation: strength and direction? a. marks on a history test and the heights of the students b. the number of defective light bulbs produced and the time of the day when they were manufactured c. the colour of cars sold and the annual income of the car buyers d. the height of corn in a field and the amount of precipitation during the growing season

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Answer A and B
Identify the correct statement below: a. The correlation between eye colour and salary is positive b. The correlation between shoe size and eye color is 0.45. c. The correlation between the weight of a mother and the weight of her daughter is 0.8 d. The correlation between height and weight is 2.5.
In order to advise students properly, a college advisor is interested in the relationship between a student's GPA and the number of hours the student an average weck. The data are shown in the table. Study Time (in hours) 33 Student GPA 3.2 19 16 2.4 31 3.1 5. 24 2.7 28 2.9 7 1.7 34 3.3 14 2.2 10 35 3.4 11 1.8 Part 1 of 5 (a) Let I represent study time and let y nepresent GPA. Graph the points. Grade Point Average vs. Weekly Study Time Weckly Study Time (hours) Part 2 of 5 (b) Does there appear to be a linear trend? Yes Part: 2/5 Part 3 of 5 (c) use the data points (16, 2.4) and (34, 3 3) to find an eguation of the line through these points. Express numbers as decimas or integers. Write answer in slope-intercept form (y = MI+ b). The equation is GPA
Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
Help
2B.2.1 Please refer to the attached image for my question! Questions to answer: 1). How many people in the class are teenagers? And, how many people are 43 years old? Finally, how many people are older than 50? 2). What is the age of the oldest person in the class? 3). How many people in the class are 25 years old?
The following data gives the number of hours 10 students spent studying and their corresponding grades on their midterm exams, Hours spent studying 0.5 1 1.5 2 2.5 4 4.5 5 5.5 6 Midterm Grades 63 69 75 78 81 84 90 93 96 99 Draw a scatter plot of the given data. Select a location in the chart to plot a point. Points can be moved by dragging or using the arrow keys. Estimate the correlation in words: positive, neagative, no correlation Calculate the correlation coefficient, r. Round your answer to three decimal places. Hours unspervised 0 1 2 4 5 Overall Grades 100 92 88 84 72 Calculate the correlation coefficient, r. Round your answer to three decimal places. Determine whether the given correlation coefficient is staatically significant at the specified level of significance and sample size. r=0.452 ,a=0.005, n=28
a. Calculate the sample covariance.X Y-3 -913 95 12b. Calculate the sample correlation.c. Describe in words the information given to us by the sample covariance and by the sample correlation.Explain how the correlation gives us more precise information.d. Explain why the covariance is not a good measure of the strength of the linear relationship between the twovariables.e. Sketch a scatterplot of a bivariate dataset with a correlation of 0.9f. Sketch a scatterplot of a bivariate dataset with a correlation of -0.3.
OA. The scatterplot indicates there is a negative, strong, linear relationship between Median Salary and Annual Sales. OB. The scatterplot indicates there is a negative, weak, linear relationship between Median Salary and Annual Sales. OC. The scatterplot indicates there is a positive, strong, linear relationship between Median Salary and Annual Sales. OD. The scatterplot indicates there is a positive, weak, linear relationship between Median Salary and Annual Sales. OE. The scatterplot indicates there is no relationship between Median Salary and Annual Sales.
10. The direction of the points around the line in a scatter plot suggests the of the variables. D. variation/strength C. trend B. shape A. form 11. If the points on the scatter graph rise from left to right, then the variables involved have a correlation. D. zero C. positive A. moderate B. negligible of the points to the trend on a 12. The strength of the correlation is associated with the scatter plot. D. number C. form B. direction A. closeness 13. Noah noticed that the points on a scatter plot follow a trend rising from right to left. He also noticed that the points are plotted closely around the trend line. What is the correlation of the variables involved? A. strong negative B. strong positive C. weak negative D. weak positive 14. If the points on the scatter plot fall almost in line, then the variables are said to have correlation. D. strong A. negative C. positive B. perfect 15. Joan noticed that the high value of one variable corresponds to high value of the second variable or…
Help
A researcher is proposing that exercise makes a person more energized as a result they require less sleep. He carries out a survey on the number of hours of exercise per week and the average hours of sleep needed per night in order to feel well rested. The results are shown in the table (picture) for the 8 participants. a. Sketch a scatter plot for the data, is the relationship linear?b. What is the correlation between the two variables?c. Calculate the coefficient of determination and explain.