lotes - Google Do X × | LTI LaunchP Do Homework - Module 9 Less X +pearson.com/Student/PlayerHomework.aspx?homeworkId=642432550&questionId=1&flushed=false&cid=7276373&back...CollegeAlgebra (4226_98Z1)ulgnHighschoolr=Help me solve this | 5 parts remainingThe accompanying table shows the ages (in years) of 11 children and the numbers of wordsthrough (d) below.Click here to view the data table. Click here to view the table of critical values for the Pearsony (yarolSpotifyпус (yealoX(b) Calculate the sample correlation coefficient r.The correlation coefficient is a measure of the strength and the direction of a linear relationsrepresents the sample correlation coefficient. The formula for the sample correlation coefficinumber of pairs of data.Printn Σxy - (Σ») (Σ»)22Σx² - (Ex)² √nΣy² - (Σy) ²плус русалоWhile either the formula or technology could be used to find the sample correlation coefficiertechnology will be used. Find the sample correlation coefficient r.r = 0.985(Round to three decimal places as needed.)(c) Describe the type of correlation, if any, and interpret the correlation in the context of the data.Data TableAge, x1SANG W OS OTA W N(FraKylie Fairchild 04/21/23 10:08 PMPrintContinue100% Fri 10:09 PMVocabulary size, y4220590130019002600710210027012002300✰ ☐Done?- X

The correlation is the measure used to determine the association between two variables. The variable…

Answered: The accompanying table shows the ages…

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 accompanying table shows the height (in inches) of 8 high school girls and their scores on an IQ test. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct graph below. OA. OB. Oc. OD. Q 130- 120- 110- o 100- 90 H 68+ 68- 130- 120 64- 64- 110- 60- 60- g 100+H 90- 56- 56- 52- 80 Height (inches) 80+ 52 52- 80 Height (inches) 80- 52 130 68 130 68 Height (inches) Height (inches) (b) Calculate the sample correlation coefficient r. Critical Values for the Pearson Correlation Coefficient (Round to three decimal places as needed.) (c) Describe the type of correlation, if any, and interpret the correlation in the context of the data. There is linear correlation. Critical Values for the Pearson Correlation Coefficient Interpret the correlation. Choose the correct answer below. O A. Based on the correlation, there does not…
3. For the information given below, find the correlation coefficient and describe the type of correlation that exists between the data. Then find the line of best fit. If the correlation is strong, then predict a single data point that is higher than those found in the table. If the correlation is not strong, then state this in a sentence. The table below lists gas prices (dollars per gallon) for regular and premium gas at 8 randomly selected WAWA gas stations in the Orlando area. 2.99 3.65 2.89 3.09 3.21 2.55 2.61 Regular Gas Premium Gas 3.98 3.84 3.99 3.69 3.54 3.66 3.98 2.79 3.99
d) Correlation by eye Sample size=45 y 20- 15- og 8. 10- 5. 10 15 20 25 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: Sample coeficient of correlation a o 00 00
The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. (a) Display the data in a scatter plot. Choose the correct graph below. A. Vocabulary size 3000- 2400- 1800- 1200- 600- 0+ • + 0 2 4 6 8 Age (years) (b) Calculate the sample correlation coefficient r. r= (Round to three decimal places as needed.) B. 8- Data Table Age, x 1 2 3456 35~ +6 ✪ 2 4 Print Vocabulary size, y 9 240 540 1100 2300 2600 650 2200 270 1300 2300 Done n C. 8- X ars) 3000 D. Vocabulary size 3000- 2400 1800- 1200- 600- 0- 0 2 468 Age (years)
A newspaper collected information on schools in its circulation area in order to compare their quality. Two Which is a true statement regarding Springside? measures the newspaper collected for each school, O Springside does not affect the correlation. mean class size and mean score on a statewide O Springside weakens the correlation shown in the scatterplot. reading exam, are shown in the scatterplot. One school in the report, Springside Elementary, is labeled in the graph. O Springside strengthens the correlation shown in the scatterplot. O Removing Springside would increase the value of the correlation coefficient. Comparing Schools 90 Springside 70 60 50 40 Save and Exit Next Submit Mark this and return ContentViewers/AssessmentViewer/Activity# ch hp Mean State Test Score
Statistics Question
35
1. A professor is interested in how attendance is related to grades her class. She goes through her records and determines each student’s final average and the number of days absent. The scores for her sample are given in the table below. a. Construct a scatter plot of the relationship between final averages and the number of days absent. b. Is there a significant relationship between final averages and the number of days absent? Calculate and interpret the correlation and report it in proper APA format. c. Compute r2 for the data. What percent of the variability in final averages is accounted for by the number days absent?
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The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabulary. Complete parts (a) through (d) below. Click here to view the data table. Click here to view the table of critical values for the Pearson correlation coefficient. Data table Critical values for the pearson correlation coefficient (a) Display the data O A. Age, x Vocabulary size, y Critical Values for the 1 6 3000- 2400- 1800- 1200- Pearson Correlation Coefficient 210 3 590 4 1300 The correlation is significant when the absolute value of is greater than the value in the table. 600- 2200 6 4 6 0 2 Age (year 2600 a = 0.05 0.950 a = 0.01 0.990 4 6 8 years) 3 680 4 2100 0.878 0.959 (b) Calculate the sa 280 6 0.811 0.917 7 0.754 0.875 4 1100 0.834 0.798 8 0.707 (Round to three de 6. 2300 0.666 10 0.632 0.765 (c) Describe the ty 11 0.602 0.735 12 0.576 0.708 There is 13 0.553 0.684 Done 0.661 0.532 0.514 0.497 Print 14 15 0.641 Interpret the correla 16 0.623 17 0.482 0.606 O A. As age…
OA. Tip Amount ($) Construct a scatterplot. Choose the correct graph below. 25- The table below includes data from taxi rides. The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars. Is there sufficient evidence to conclude that there is a linear correlation between the time of the ride and the tip amount? Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a 0.01. Does it appear that riders base their tips on the time of the ride? Click here for information on the taxi rides. 0 35 Ride time (minutes) Determine the linear correlation coefficient. The linear correlation coefficient is r= (Round to three decimal places as needed.) Tip Amount ($) B. Q 25- Q 0- 0 35 Ride time (minutes) Tip Amount ($) C. 25- Q 0 35 G Ride time (minutes) O D.…
3

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