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- Solve this for me77. DISCUSS: The Least Squares Line The least squares line or regression line is the line that best fits a set of points in the plane. We studied this line in the Focus on Modeling that follows Chapter 1 (see page 174). By using calculus, it can be shown that the line that best fits the n data points (x1, yı), (X2, y2), - .. , (X, Yn) is the line y = ax + b, where the coefficients a and b satisfy the following pair of linear equations. (The notation E- x, stands for the sum of all the x's. See Section 13.1 for a complete description of sigma (E) notation.) x Ja + nb = Ey. k=1 (2:)- + (2-) » - .» k=1 Use these equations to find the least squares line for the fol- lowing data points. (1, 3), (2,5). (3, 6), (5,6). (7,9) Sketch the points and your line to confirm that the line fits these points well. If your calculator computes regression lines, see whether it gives you the same line as the formulas.one o Time Using Catalyst B (seconds) Time Using Catalyst A (seconds) 8. Trial 24 7 1 27 26 18 3 30 32 4 11 26 5 19 6. 32 22 7 19 30 8 26 23 9 22 10 19 16 11 20 13 12 25 26
- Answer GChrome File DO → C Gmail Edit Home - myRCC View ! 7 History Q Male mylearning.suny.edu/d21/le/content/920969/viewContent/25846500/View Female Bookmarks Giving a test to a group of students, the grades and gender are summarized below A X 6 12 B.2 HW-23FA STATISTICS (81 X B C 2 13 7 15 Total 19 19 25 Profiles Tab Window Help 10 3 If one student is chosen at random, Submit Question Find the probability that the student was female: Total # 28 Find the probability that the student was male AND got a "B": 3 Find the probability that the student was female OR got an "C": 35 If one student is chosen at random, find the probability that the student was male GIVEN they got a 'C': 63 E + $ 4 R % 5 6 SEP 25 Y ∞ Ka 8Using the data in the first image can you give me answers to questions in 2nd image(4,5,6).Can you plz atleast explain how to do 5&6 (6 is the main one) plz help......
- Response Surface Methodology can be applied for continuous response variable Y. Depends. False. True. Response Surface Methodology can be applied for categorical response variable Y. True. False. Depends.Please include all details & stepsRegression The following data are measurements of the relative humidity in a storage location and the moisture content of a sample of raw material taken over 15 days. 1. Fit a least squares line and use it to predict the value of moisture content when the relative humidity is 65. 2. Find ŷ; values corresponding to x;. Relative humidity % Moisture content % 46 12 53 15 29 7 61 17 36 10 39 11 47 11 49 12 52 14 38 55 16 32 8 57 18 54 14 44 12
- Please answer with explanation ThanksWhat type of data are required for Independent Variable (IV) and Dependent variable (DV) in ANOVA? Group of answer choices DV is continuous and IV is categorical DV is categorical and IV is categorical DV is categorical and IV is continuous DV is continuous and IV is continuous Type of data does not matter for ANOVAFit 1: y = 6.5x+3 Fit 2: y = 4.5x+5 x y 4 35 11 68 14 102 19 130 26 171 32 200 37 230 42 259 43 298 48 325 Determine which of the relations is the best fit for the data, using your preerred goodness of fit method with no inbuilt functions. Please provide steps taken.