2. The article "How to Optimize and Control the Wire Bonding Process"described an experiment carried out to assess the impact of the variablesforce (gm), x1and temperature(degree Celsius), x2 on ball bond shear strength(gm),y. Thefollowing data were generated:ObservationForceTemperatureStrength13017526.24017526.3304017539.8417539.753022538.64035.522522573048.884022537.893017526.6104017523.4a. Find the regression equation representing the ball bond shear strength in termsforce and temperature.b. Determine whether the data provide sufficient evidence to conclude that theforce and temperature are useful for predicting the ball bond shear strength at 5%level of significance.2 3

Answered: Image /qna-images/answer/747500e6-9fc0-4d78-b156-e062a3c9f148.jpg

Answered: 2. The article "How to Optimize and…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Consider the following data, i) Calculate and analyze the fitted regression line between the electricity flow (amp) andthe resistance capacity (ohm) in different circuits.ii) Find the coefficient of determination and interpret your data.iii) Predict electron flow when resistance capacity is 12 (ohm)
Please answer the question on the photo.
Freshcrim specializes in the sales of ice cream from street trolleys in the centers of many cities. Some factorsthat may determine the sales of ice cream are: the atmospheric temperature, the location of the trolley, therain and the humidity. However, there exists a hypothesis that the sales of ice cream during the summer aresignificantly correlated only with atmospheric temperature. They defined two variables: X : the meanatmospheric temperature and Y : the sales. They considered the month of July of this year in a randomsample of 30 cities. For each city in the sample, let x be the mean temperature in degrees Fahrenheit and ythe mean sales per day in dollars per 100,000 residents. The data are given below. A regression model wasrun, with Y as the dependent variable and X as the independent variable.
Suppose you fit the first-order model y = Po + B, x, + B2x2 + B3X3 + B,x4 + B5X5 + ɛ to n=28 data points and obtain SSE = 0.33 and R = 0.94. Complete parts a and b. a. Do the values of SSE and R suggest that the model provides a good fit to the data? Explain. A. Yes. Since R = 0.94 is close to 1, this indicates the model provides a good fit. Also, SSE = 0.33 is fairly small, which indicates the model provides a good fit. B. There is not enough information to decide. No. Since R = 0.94 is close to 1, this indicates the model does not provide a good fit. Also, SSE = 0.33 is fairly small, which indicates the model does not provide a good fit. b. Is the model of any use in predicting Test the null hypothesis Ho: B, = B2 = ... = B5 = 0 against the alternative hypothesis: At least of the %3D parameters B1, B2, B5 is nonzero. Use a = 0.05. The test statistic is (Round to two decimal places as needed.)
The following data represents the amount in kg of fertilizer applied to equal size of plots and the yields in kg of maize. PLOT AMOUNT OF FERTILIZER(X) YIELDS(Y) A 2 7 B 1 3 C 3 8 D 4 10 (a) Calculate and interpret the correlation coefficient for X and Y (b) Calculate and interpret the least square regression of Y on X
3. Show manual computation. Refer to the table below. Calculus (y) y2 Statistics (x) ху 30 28 22 32 27 30 27 33 29 30 27 28 27 32 27 32 22 25 28 32 21 25 21 30 28 32 20 26 29 30 a) What is the correlation coefficient? Interpret the result. b.) What is the best fit line that best describes the above data? c.) Using the regression line at (b), what would be the score of a student in calculus if the student got 19 in statistics? d.) Using the regression line at (b), what would be the score of a student in statistics if the score in calculus is 23?
2. Use the table of measurements of length and force that you have been supplied with to complete the following activities: (a) Draw a scatter graph for your given data. Describe what the scatter graph is indicating. (b) Use the scatter graph to estimate the length for a force of 57N (c) Calculate the line of regression of extension on force (Y on X) (d) Calculate the correlation coefficient (e) Explain what the correlation coefficient indicates (f) Use the equation for the line of regression to predict the length for a force of 57N (g) Compare the calculated value with the value that you have determined from the scatter graph. Force (N) 0 20 40 60 80 Length (mm) 8 100 215 310 400.
The following data represents the amount in kg of fertilizer applied to equal size of plots and the yields in kg of maize. PLOT AMOUNT OF FERTILIZER(X) YIELDS(Y) A 2 7 B 1 3 C 3 8 D 4 10 (a) Calculate and interpret the correlation coefficient for X and Y (b) Calculate and interpret the least square regression of Y on X (c) Find the value of a, b, …, f in the one-way ANOVA table below. Source SS df MS F Treatment 361.5 b 60.25 f Error a 21 d Total 821.7 c e
11. 2.3 help correct the last question
An experiment to compare the tension bond strength of polymer latex modified mortar (Portland cement mortar to which polymer latex emulsions have been added during mixing) to that of unmodified mortar resulted in x = 18.19 kgf/cm? for the modified mortar (m = 42) and y = 16.85 kgf/cm? for the unmodified mortar (n = 30). Let u, and u, be the true average tension bond strengths for the modified and unmodified mortars, respectively. Assume that the bond strength distributions are both normal. Assuming that o, = 1.6 and o, = 1.3, test Hn: 4, - H, = 0 versus H: u, - u, > 0 at level 0.01. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) P-value = Compute the probability of a type II error for the test of part (a) when 4 - Hz = 1. (Round your answer to four decimal places.) Suppose the investigator decided to use a level 0.05 test and vwished B = 0.10 when u, - uz = 1. If m = 42, what value of n…
An educator wants to see the number of absences(X) a student in her class has affects the Student's final GPA(Y) a) Find Correlation coefficiente b) Draw a Scatter plot (I c) Find the Regression equation of Y on X d) Predict the student's GPA when X = 6 X 4 5 2 8 3 10 7 y 2.5 2.3 4 2.1 3.3 1.7 2.3
ANSWER D AND E ONLY

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