The data obtained in a study on the number of absences in virtual class and the final grades of seven randomly selected students from a mathematics class. The data are shown below. What is the degree of the linear correlation coefficient using the Pearson Product Moment (PPM) of Correlation Coefficientr for the data obtained in the study and its interpretation? Number of absences x Final in a virtual class grade y 6 82 86 15 43 9. 74 58 90 78 a. 0.72 High positive correlation b. 0.72. High negative correlation c. 0.58: Moderate high negative correlation d. 0.58 Moderate high positive correlation

The data obtained in a study on the number of absences in virtual class and the final grades of seven randomly selected students from a mathematics class. The data are shown below. What is the degree of the linear correlation coefficient using the Pearson Product Moment (PPM) of Correlation Coefficientr for the data obtained in the study and its interpretation? Number of absences x Final in a virtual class grade y 6 82 86 15 43 9. 74 58 90 78 a. 0.72 High positive correlation b. 0.72. High negative correlation c. 0.58: Moderate high negative correlation d. 0.58 Moderate high positive correlation

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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The data obtained in a study on the number of absences in virtual class and the final grades of seven randomly selected students from a mathematics class. The data are shown below. What is the degree of the linear correlation coefficient using the Pearson Product Moment (PPM) of Correlation Coefficient r for the data obtained in the study and its interpretation? * Number of absences x Final in a virtual class grade y 82 86 15 43 6. 74 2. 58 90 78
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 negative linear correlation between ticket price and number of attendees. Use a significance level of 0.05 and round all values to 4 decimal places. Ticket Price Attendence 6. 109 10 114 14 139 18 142 22 139 26 132 30 154 Но: = 0 На: р Find the Linear Correlation Coefficient r = Find the p-value p-value = %3D The p-value is Less than (or equal to) a Greater than a The p-value leads to a decision to Reject Ho Аcсept Ho Do Not Reject Ho The conclusion is There is a significant linear correlation between ticket price and attendance. There is a significant negative linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance.
O T O A newspaper asks two of its staff to review the coffee quality at different trendy cafés. The coffee can be rated on a scale from 1 (miserable) to 10 (excellent). The results of the two coffee enthusiasts X and Y are as follows: Cafei xi yi 136 287 37 10 498 554 (a) Calculate and interpret Spearman's rank correlation coefficient. (b) Does Spearman's correlation differ depending on whether ranks are assigned in a decreasing or increasing order? (c) Suppose the coffee can only be rated as either good (>5) or bad (s5). Do the chances of a good rating differ between the two journalists? Filters Add a caption.. > Nancy
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a= 0.01. Shoe Print (cm) | 28.8 Foot Length (cm) 24.8 Height (cm) 30.8 30.4 31.1 28.6 24.6 27.8 26.1 25.3 177.6 179.2 179.2 169.4 169.5
Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of a = 0.05. Shoe Print (cm) Foot Length (cm) Height (cm) Height (cm) 160- 25 Shoe Print (cm) 30.1 25.7 179 35 0 30.1 32.4 32.8 25.1 27.5 27.1 176.9 187.3 170.8 The linear correlation coefficient is r= 0.495 (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: p = H₁: P 0 (Type integers or decimals. Do not round.) The test statistic is t = 0.99. (Round to two decimal places as needed.) The P-value is (Round to three…
Example 3. Calculate Correlation Coefficient from the data given below by direct method i.e., without taking deviations of items from actual or assumed mean Roll No. of Students : Marks in Maths : Marks in Stat : 2 3 4. 48 35 17 23 47 45 20 40 25 45.
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
The data obtained in a study on the number of absences in virtual class and the final grades of seven randomly selected students from a mathematics class. The data are shown below. To determine the significance of the correlation coefficient at 0.05 level of significance, what is the calculated or computed value (CV)? Final grade y Number of absences x in a virtual class 6. 82 86 15 43 9. 74 58 5 90 78 а. -1.59 b. -2.32 с. 2.32 d. 1.59
A study of bone density on 5 random women at a hospital produced the following results. Age 33 37 61 65 69 Bone Density 355 345 340 330 315 Copy Data Step 3 of 3 : Calculate the correlation coefficient, r. Round your answer to three decimal places.