For 50 randomly selected speed dates, attractiveness ratings by males of their female date partners (x) are recorded along with the attractiveness ratings by females of their male date partners (y); the ratings range fro 1 to 10. The 50 paired ratings yield x = 6.4, y = 6.0, r=-0.233, P-value = 0.104, and y=7.88-0.292x. Find th best predicted value of y (attractiveness rating by female of male) for a date in which the attractiveness rating by the male of the female is x = 4. Use a 0.01 significance level. The best predicted value of y when x = 4 is (Round to one decimal place as needed.)

Google's stock (GOOG) was tracked for 10 days, showing closing prices of 1,106.65; 1,104.37; 1,128.64; 1,120.53; 1,109.53; 1,110.76; 1,137; 1,068.2; 1,113.1; 1,136.3. Calculate the range of the dataset.

It takes a while for new factory workers to master a complex assembly proces. During thre first month new employees wor, the company tracks the number of days the have been on the job and the length of time it rtakes them to complete assembly. The correlation is most likely to be what?

The regression analysis shows that r^2 = 0.4688. What would the correlation be? A. r = √0.4688 B. r = −√0.4688 C. Both A and B. D. None of the above.

The y for the association between education and health is -0.386. Does y for the relationship between frequency of prayer and health (-.055) represent a stronger or weaker ordinal association then the y of -0.386 for the relationship between education and health? Options: A. stronger relationship than y of -0.386 B. Weaker relationship than y of 0.386 C. cant tell from the information provided

For 50 randomly selected speed dates, attractiveness ratings by males for their female date partners (x) are recorded along with the attractiveness ratings by females of the male date partners (y); the ratings range from 1 to 10. The 50 paired ratings yeild x=6.3, y=6.0, r= -0.163, p value= 0.259, and y ( with the ^) above it = 7.27 - 0.208x. Find the best predicted value of Y (attractiveness rating by female of male) for a date in which the attractiveness rating by male of the female is x=6. Use a 0.05 significance level. The best predicted value of Y when x=6 is ??

An individual’s income varies with his or her age. The following table shows the median income I of males of different age groups within the United States for 2012. For each age group, let the class midpoint represent theindependent variable, x. For the class “65 years and older,” we will assume that the class midpoint is 69.5. (a) Use a graphing utility to draw a scatter diagram of thedata. Comment on the type of relation that may existbetween the two variables.(b) Use a graphing utility to find the quadratic function ofbest fit that models the relation between age and medianincome.(c) Use the function found in part (b) to determine the age atwhich an individual can expect to earn the most income.(d) Use the function found in part (b) to predict the peakincome earned.(e) With a graphing utility, graph the quadratic function ofbest fit on the scatter diagram.

A critical communications relay has a constant failure rate of 0.1 per day. Once it has failed, the mean time to repair is 2.5 days (the repair rate is constant). Calculate the interval availability over a 2-day mission (starting at time zero) and the point availability at the end of the 2 days.

Ginny’s professors conspired to all give a test on the same day. She gets an 82 on her psychology exam with μ = 76 and σ = 12. She receives a z-score of -.25 on her management exam. Finally, she scored at the 50th percentile on her normally distributed math exam. Place her test scores in order from lowest to highest score.

Data were recorded for 117 months on a household's gas bill (in dollars) and the average monthly temperatures for its neighborhood. The mean monthly temperature was 48.7°F with a standard deviation of 20.6. The mean gas bill price was $81.20 with a standard deviation of 66.5. The correlation coefficient between monthly temperature and gas bill price is -0.92. 22) Determine the correct value of the slope for the linear model that predicts gas bill price from monthly temperature and interpret it in context. The slope is - 2.97. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $2.97. The slope is - 0.28. For every one degree increase in monthly temperature, the gas bill price is predicted to decrease by $0.28. The slope is - 2.97. For every one dollar increase in gas bill price, the monthly temperature is predicted to decrease by 2.97°. The slope is - 0.28. For every one dollar increase in gas bill price, the monthly temperature…