r7904 10 326 76163.011 387 12 64514 528 20 12222 122 28 166 29 861 54304 44189 42 651 46678 50 1692.94.04.65.46.02.2y8.59.710.312.015.0a Plot a scatter diagram for this data.16.316.817.0b Describe the correlation.c Find the mean GDP.4. Find the mean number of books read per person in a year.e Plot and label the mean point on the scatter diagram.f Draw a line of best fit by eye through the mean point.nvestigation 6y10L:y=0,81x + 2.36%Dthis investigation you will see that a line of best fit drawn byye through the mean point can be improved.9.8What do you think "improve" means in this context?00.65x+36.ight data points and also

Answered: 11 387 12 645 14528 20 122 22 122 28…

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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Similar questions

Calculate the co-efficient of rank correlation from the following data. Price of Coffee Price of Tea 45 25 42 28 45 35 47 27 48 30 43 32 45 35 50 30 48 28 42 39
Calculate the co-efficient of correlation for the following ages of husbands and wifes : Husband's age x : Wife's age 27 28 28 29 30 31 - 33 35 36 23 20 22 27 21 18 y : 29. 27 29 28 29
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 125 10 147 14 193 18 165 22 125 26 110 30 187 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Do Not Reject Ho Accept Ho Reject Ho The conclusion is There is a significant linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is a significant negative linear correlation…
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
The following data gives the number of hours 10 students spent studying and their corresponding grades on their midterm exams. Hours Spent Studying 0 0.5 1.5 2 2.5 3 3.5 4 4.5 5.5 Midterm Grades 63 66 69 75 78 81 84 87 90 96 Estimate the correlation in words, positive, negative, no correlation. (a) Positive (b) Negative (c) No correlation
The table below illustrates the College Placement Exam rating and the GWA of students in one semester. Find the linear correlation coefficient for the data Student 1 3 4 5 7 8 9 10 Placement Exam 83 89 92 77 81 81 85 85 87 84 GWA 83 85 90 80 83 85 87 84 90 85 Select the correct response: 0.8134 0.0162 0.7207 0.9201
nalysis Name: Date: Score: Section Exercise 10.3 1. SJS Company has been selling to retail customers in the Metro Manila area. They advertise extensively on radio, print ads, and in the internet. The owner would like to review the relationship between the amount spent on advertising expense (in P000s) and sales (in P000s). Below is information on advertising expense and sales for the last 9 months. Month Jan Advertising Expense 10 Sales Revenue Feb Mar Apr May June July Aug Sept 8 12 11 13 190 215 190 210 235 208 15 14 13 16 170 175 250 Find the coefficient of correlation. Determine at the 0.10 significance level whether the correlation in the population is greater than zero. Step 1: State the hypotheses. Ho: Hi: Step 2: The level of significance and critical region. a= Step 3: Complete the table and compute for the value of r and t. and tcritical = Month x x 22 x2 xy Jan Feb Mar Apr May Jun Jul Aug Sept Σχ= Σy= ΣΥ Σαν = Σx=- tcomputed= r = Step 4: Decision rule. Step 5: Conclusion.…
Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
Guess the correlation for the following scatter plots
Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Does an employee’s attitude affect their job performance? Performance 59 63 65 69 58 77 76 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 Calculate the correlation coefficient, r, and describe the relationship, if any, between the variables 11.659, positive linear 4.837, positive linear 0.863, positive linear 0.745, positive linear 0.0013, positive linear
First Paired Data Set 4 10 13 11 19 21 36. Use the First Paired Data Set. Find the correlation coefficient r. A. 0.862 B. 0.943 C. 0.725 D. 0.607
Perform rank correlation analysis on the following data set: x y -5 1.9 -4 0.9 -3.25 0.7 -2.55 -0.5 -1.85 -1.2 -0.9 -1.7 5.5511151231258E-17 0.7 0.8 1.5 1.55 1.6 2.35 -0.1 3.3 0.8 4.1 -1.1 5.1 -0.9 5.8 -0.8 6.7 0.7 What is the rank correlation coefficient? (Round to three decimal places.) What is the critical rho value at a 0.01 significance? Do we have correlation? Yes, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. No, the rank correlation coefficient is larger (in absolute value) than the critical rho value. No, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. Yes, the rank correlation coefficient is larger (in absolute value) than the critical rho value.

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