Question Solved1 Answer need 100 percent perfect answer just answer please start solving quickly i will rate positive if answer is correct A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: y = 120 + 5x. This implies that if the height is increased by 1 inch, the weight is expected to: Select one: increase by 24 pounds o increase by 5 pounds increase by 1 pound O increase by 120 pounds

A whatjapanthinks.com survey asked residents of Japan to name their favorite pizza topping. The possible responses included the following choices: pig-based meats, for example, bacon or ham (PI); seafood, for example, tuna, crab, or cod roe (S); vegetables and fruits (V); poultry (PO); beef (B); and cheese (C). The following data represent the responses of a random sample of 36 people. V PI B PI V PO S PI V S V S PI S V PI PI V V c VS PO V PI S PI PO PI a. Prepare a frequency distribution table. b. Calculate the relative frequencies and percentages for all categories. c. What percentage of the respondents mentioned vegetables and fruits, poultry, or cheese? d. Draw a bar graph for the relative frequency distribution. V V S S V с V A staff member at a local grocery store was assigned the job of inspecting all containers of yogurt in the store to determine the number of days to expiry date for each container. Containers that had already expired but were still on the shelves were given a value of 0 for number of days to expiry. The following table gives the frequency distribution of the number of days to expiry date. Number of Days 0 to 5 6 to 11 12 to 17 18 to 23 24 to 29 Number of Containers 32 67 44 20 11 a. How many containers of yogurt were inspected? b. Find the class midpoints. Do all of the classes have the same width? If so, what is this width? If not, what are the different class widths? c. Prepare the relative frequency and percentage distribution columns. d. What percentage of the containers will expire in less than 18 days? e. Explain why you cannot determine exactly how many containers have already expired. f. What is the largest number of containers that may have already expired?

Hypothesis Testing Practice 6 points possible (graded) 1. Suppose we now instead have 30000 participants in the treatment group and 31000 participants in the control group. As before, we base the null hypothesis on the breast cancer death rate observed in the control group, which is 0.00203, and define Y as the number of deaths in the treatment group. Given Hypothesis Testing Practice 6 points possible (graded) 1. Suppose we now instead have 30000 participants in the treatment group and 31000 participants in the control group. As before, we base the null hypothesis on the breast cancer death rate observed in the control group, which is 0.00203, and define Y as the number of deaths in the treatment group. Given that we now have different sized treatment and control groups, can we still model Y as a Poisson variable (approximated from a Binomial) and perform the same hypothesis test using Y as the test statistic? If so, what is the null hypothesis in terms of the parameter (of the Poisson model)? Yes, y can still be modeled as Poisson (X), and the null hypothesis will be Ho: λ = 60.9 Yes, y can still be modeled as Poisson (X), and the null hypothesis will remain Ho : A = 63 No 2. Recall that we have the model X₁,..., X31000~ Bernoulli() for the outcomes for each patient in the treatment group. We wish to distinguish between Ho: = 0.00203 and HA < 0.00203 using the test statistic T. How does T distinguish between Ho and HA? If T is large, then the data is more compatible to Ho, and if T is small, especially much smaller than 0.00203 31000, then the data is compatible to HA. If T is small, then the data is more compatible to Ho, and if T is large, especially much larger than 0.00203 31000, then the data is compatible to HA. If T' is exactly equal to 0.00203 31000, then the data is compatible to Ho. Otherwise, the data is compatible to HA.

From the table below, calculate the actual distance for each point given the multiplying and additive constants equivalent to 98.5 and 0.62, respectively. Point Top stadia Middle stadia Below stadia Distance a) А 3 2 1 b) B 2.95 2.05 0.25 c) с 3.35 2.35 0.95 d) D 2.98 2.28 0.48 ) e) E 2.56 1.76 0.76

The v–t graph for the motion of a car as it moves along a straight road is shown. Draw the s–t and a–t graphs. Also determine the average speed and the distance traveled for the 15-s time interval. When t = 0, s = 0. v (m/s) 15 u = 0.6t2 t (s) 15

determine the time during which the datellite is above the horizon for an observer located at the north pole The periodic time of an earth satellite in a circular polar orbit is 116 minutes. th N Horizon B A R = 3960 mi S Determine the time during which the satellite is above the horizon for an observer located at the north pole. The time is 29 min.

Consider the function x2 f(x) = [* °) cos(t) dt. We want to find its degree two Taylor polynomial T2(x) near x = 0. First, we calculate f'(x). We get: f'(x) = Then, we calculate f"(x). We get: f"(x) = Putting this together, we can construct the degree two Taylon polynomial T2(x) near x = 0. We obtain: T2(x) = Check