for this projechs Collect at least 10 pairs. Of quantitative data and a hypothesis test for inear Corelation and also give the you will Conduct best predicted value of for A given valve of X.

Which of the non-parametric test for ordinal data is the best to use in the given scenario? An experiment was conducted to compare the strengths of two types of elastic bandages: one a standard bandage of a specified weight and the other the same standard but treated with a chemical substance. Ten pieces of each were randomly selected from production. Does the treated bandage tend to be stronger than the standard? Table 1. Strength measurements (and their ranks) for 2 types of bandages. STANDARD TREATED 1.21(2) 1.49(15) 1.43(12) 1.37(7.5) 1.35(6) 1.67(20) 1.51(17) 1.50(16) 1.39(9) 1.31(5) 1.17(1) 1.29(3.5) 1.48(14) 1.52(18) 1.42(11) 1.37(7.5) 1.29(3.5) 1.44(13) 1.4(10) 1.53(19) a. Mood median test b. sign test c. Wilcoxon rank-sum test d. Wilcoxon matched-pairs signed-ranks test e. Spearman and Kendall correlation coefficients f. Kruskal-Wallis test

Arm circumferences​ (cm) and heights​ (cm) are measured from randomly selected adult females. The  142 pairs of measurements yield x=32.14cm, y=163.36cm, r=.084, P value=.32 and y=160+.111x.  Find the best predicted value of y (height) given an adult female with an arm circumference of 40cm. Let the predictor variable x be arm circumference and the response variable y be height. Use a .05 significance level.

Gestation For women, pregnancy lasts about 9 months.In other species of animals, the length of time fromconception to birth varies. Is there any evidence thatthe gestation period is related to the animal’s lifespan?The first scatterplot shows Gestation Period (indays) vs. Life Expectancy (in years) for 18 speciesof mammals. The highlighted point at the far rightrepresents humans. a) For these data, r = 0.54, not a very strong relation-ship. Do you think the association would be stronger or weaker if humans were removed?Explain.b) Is there reasonable justification for removing humansfrom the data set? Explain.c) Here are the scatterplot and regression analysis for the17 nonhuman species. Comment on the strength of theassociation.d) Interpret the slope of the line.e) Some species of monkeys have a life expectancy ofabout 20 years. Estimate the expected gestation periodof one of these monkeys.

zion 11 of 15 > Suppose a researcher collects data on the gas mileage, measured in miles per gallon, for both city and highway driving for 35 cars. The data is plotted with city gas mileage on the horizontal axis and highway gas mileage on the vertical axis. The 1965 Triumph Herald is an outlier in the x-direction. What must be true about this car? O This car is an influential observation. M The highway gas mileage for this car is much higher or much lower than the rest of the cars in the data set. O The absolute value of the residual of this car is large. O The city gas mileage for this car is much higher or lower than rest of the cars in the data set. O The highway gas mileage for this car is much higher or lower than other cars in the data set that have similar city gas mileage. about us careers privacy policy terms of use contact us help US 9 O 4:23

tools/retrieve?display-full_width&url=https%3A%2F%2Fwssu.quiz-Iti-iad-prod.instructure.com%2Fli%2F... ions with a z-score between z₁ = 0.53 and 22 = 2.26. Give your answer to four decimal pl ns with a z-score between 21 =-1.58 and 22 = 0.93. Give your answer to four decima s with a z-score between 2₁ -1.46 and 22 0.26. Give your answer to two dec

"Durable press" cotton fabrics are treated to improve their recovery from wrinkles after washing. "Wrinkle recovery angle" measures how well a fabric recovers from wrinkles. Higher is better. Here are data on the wrinkle recovery angle (in degrees) for two types of treated fabrics: Permafresh 12 13 15 11 10 16 14 Hylite 14 19 20 16 A manufacturer wants to know how large is the difference in mean wrinkle recovery angle. Give a 98% confidence interval for the difference in mean wrinkle recovery angle: [three decimal accuracy] [three decimal accuracy]

Given the “data” determined by y = x^3 + (x-1)^2 with x = 0.1, 1.2, 2.3, and 2.9, calculate SSTO, SSR, and R^2. Then recalculate these using x = 0.3, 1, 2.45, and 2.8. Does where you collect your data (i.e., which values of x) appear to impact your interpretation of how good the linear model fits?.

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A regression between foot length(response variable in cm) and height (eexplanatory variable in inches) for 33 students resulted in the following regression equation: y^=10,9+0,23X one student in the sample was 73 inches tall with a foot length of 29cm.What is the predicted foot length for A)33cm B)17,57cm C)27,69cm D)29cm