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- The following equations were estimated using the data in ECONMATH, with standard errors reported under coefficients. The average class score, measured as a percentage, is about 72.2; exactly 50% of the students are male; and the average of colgpa (grade point average at the start of the term) is about 2.81. score = 32.31 + 14.32 colgpa (2.00) (0.70) n = 856, R² = .329, R = .328. 29.66 + 3.83 male + 14.57 colgpa score = (2.04) (0.74) (0.69) n = 856, R? = .349, R = .348.Z score of 0.045ms/d/e/1FAlpQLSeqicz28JvqPvaUE18MzvjYM-eANyjbFCs14Gxm Self-Care Assessme.. C Clever | Portal Springboard-Home A person's hair is 8 centimeters long. The equation below can be used to estimate the length (L), in centimeters (cm), that the person's hair will be after w weeks. L= +8 Based on the equation, what will be the estimated length of the person's hair after 10 weeks? El cabello de una persona mide 8 centimetros de largo. La siguiente ecuación
- A regression was run to determine if there is a relationship between hours of study per week (z) and the test scores (y)- The results of the regression were: y=ax+b a=5.701 b=31.89 r2=0.660969 r=0.813 Use this to predict the final exam score of a student who studies 3.5 hours per week, and please round your answer to a whole number. Question Help: Message instructor Submit Question rse here to search RMicroprocessing, a computer firm specializing in software engineering, has compiled thefollowing revenue records for the years 1989 to 1995Year198919901991Revenue (× $100,000)1.11.51.919922.1199319942.42.9The second-degree equation that best describes the secular trend for these data is19953.5{=2.119 + 0.375x + 0.020x?, where 1992 = 0, and x units = 1 year(a) Calculate the percent of trend for these data.(b) Calculate the relative cyclical residual for these data.(c) Plot the percent of trend from part (a).(d) In which year does the largest fluctuation from trend occur, and is it the same for blmethods?R Trigonometry calculator Google Docs dcdn.com/Sfdc9cd3246a/348077?X-Blackboard-Expiration=1615183200000&x-Blackboard-Signature=eRyEvBJon4rpF 3. 3 100% +. 7. A swimmer orients herself perpendicular to the parallel banks of a river. If the swimmer's velocity is 2m/s and the velocity of the current is 0.5m/s, what will be the swimmer's resultant velocity? of 12 degrees. How far will
- show all workings. Perform the F Test making sure to state the null and alternative hypothesis. Give an interpretation of the term “R-sq” and comment on its value.The owner of a used car dealership is trying to determine if there is a relationship between the price of a used car and the number of miles it has been driven. The owner collects data for 25 cars of the same model with different mileage and determines each car's price using a used car website. The analysis is given in the computer output. Predicto Coef 24157.2 -0.181 SE Coef t-ratio Constant 2164.1 2.965 0.046 0.000 Mileage 0.024 5.377 S = 3860.7 R-Sq = 68.0% R-Sq (Adj) = 69.5% Using the computer output, what is the value of the coefficient of determination? 0.46 0.68 0.70 0.82Arm circumferences (cm) and heights (cm) are measured from randomly selected adult females. The 139 pairs of measurements yield x = 31.99 cm, y = 163.33 cm, r= 0.032, P-value = 0.708, and y = 158 + 0.1703x. Find the best predicted value of y (height) given an adult female with an arm circumference of 35.0 cm. Let the predictor variable x be arm circumference and the response variable y be height. Use a 0.05 significance level. %3D ..... The best predicted value is cm. (Round to two decimal places as needed.)
- I have been having a rough time with these 2 questions and would like help.A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: y=ax+ba=6.88b=34.85r2=0.535824r=0.732Use this to predict the final exam score of a student who studies 6 hours per week, and please round your answer to a whole number.A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy). The results of the regression were: y=ax+ba=-1.392b=32.952r2=0.527076r=-0.726Use this to predict the number of situps a person who watches 2 hour(s) of TV can do, and please round your answer to a whole number.