In exercise 18 the data  on price ($) and the overall score for six stereo headphones tested by Consumer Reports were as follows (Consumer Reports website, March 5 , 2012) Brand Price ($) Score Bose 180 76 Skullcandy 150 71 Koss 95 61 Phillips/O'Neill 70 56 Denon 70 40 JVC 35 26 a. Does the t test indicate a significant relationship between price and the overall score? What is your conclusion ? Use α = .05.  c. Show the ANOVA table for these data.

A sport psychologist wanted to test the extent to which daily intake of fat in grams, and amount of exercise (in minutes) can predict health m=(measured using a Body mass index {BMI} scale in which higher scores indicate poorer health. Using the da1ta below: Fat (grams)​​ . Exercise (minutes).    ​Health (BMI) 8​.                    ​​34​​.                               ​32 11​​.                    ​10​.                               ​​34 5​​.                     ​50​​​.                               23 9​​​.                     15​​​.                               33 8​.                     ​​35​​​.                               28 5​​​.                     40​.                               ​​27 6​​​.                     20​​.                               ​25 4 ​​​.                    60​​.                               ​22   -the psychologist concluded exercise did not provide any additional information because a.) R2 = .923 b.) Adjusted R2 =.853 c.) B= -.017 d.) F change = .045;…

A local doctors office recorded the wait times for 70 patients on a saturday afternoon and organized he times in the histogram below a. what percent of people waited more than 15 minutes? b. what percent of people waited less than 20 minutes? c. what percent of people waited less than 5 minutes given they waited less than 20 minutes?

Listed below are the amounts of bills for dinner and the amounts of the tips that were left. 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 α=0.01. If everyone were to tip with the same​ percentage, what should be the value of​ r?   Bill​ (dollars) 31.65 53.83 87.10 103.64 60.34 109.80   Tip​ (dollars) 3.74 5.76 14.73 16.86 7.44 20.73   1. The linear correlation coefficient is r=   2.  What are the null and alternative​ hypotheses?   3. The test statistic is t=   4. The P-Value is P=