A student was performed on a type of bearing to find the relationship of amount of wear y to x₁ = oil viscosity and x2 = load. The accompanying data were obtained. Complete parts (a) and (b) below.Click here to view the bearing data.Click here to view page 1 of the table of critical values of the t-distribution.Click here to view page 2 of the table of critical values of the t-distribution.(a) Estimate 2 using multiple regression of y on x and x2.(Round to one decimal place as needed.)Bearing Datayx1X21941.7844173 22.2 105211432.9136223015.780995 42.9120512840.31106- X

The formula of S2 is,where,MSE denotes the Mean sum of squares of errorSSE denotes the sum of…

Answered: A student was performed on a type of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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For each of the variables described below, indicate whether it is a quantitative or a categorical (qualitative) variable. Also, indicate the level of measurement for the variable: nominal, ordinal, interval, or ratio. Make sure your responses are the most specific possible. Variable Type of variable Level of measurement (a)Duration (in minutes) of a call to a customer support line Quantitative Categorical Nominal Ordinal Interval Ratio (b)Exchange on which a stock is traded (NYSE, AMEX, or other) Quantitative Categorical Nominal Ordinal Interval Ratio (c)Temperature (in degrees Celsius) Quantitative Categorical Nominal Ordinal Interval Ratio
Please help me with this. Here are the questions: What must be " the direction of the shaded acceptance region " and " the direction of the shaded critical region " of the given equation below?
The data table below contains the amounts that a sample of nine customers spent for lunch (in dollars) at a fast-food restaurant. Complete parts (a) through (d). Click here to view page 1 of the table of critical values of t. Click here to view page 2 of the table of critical values of t. 4.28 5.03 5.75 6.51 7.39 7.43 8.38 8.46 9.71 Click to copy table. a. At the 0.05 level of significance, is there evidence that the mean amount spent for lunch is different from $6.50? State the null and alternative hypotheses. Ho: H (Type integers or decimals. Do not include the $ symbol in your answer.)
Please write neat and visible
Suppose an experiment were conducted on the stretching of a spring as a function of the force applied to the spring yielding the data in the following table Time (s) Position (m) 0.0 0.0 2.0 1.4 4.0 2.8 6.0 4.2 8.0 5.6 10.0 7.0 12.0 8.4 plot a graph of Position vs. Time, then draw the theoretical curve, Draw the best straight line you can through the origin and the plotted points. Try to leave about as many points above and below the line. This is the line of best fit. Find the slope of the best fit line on your graph. Calculate the uncertainty of your line of best fit. Statistically, it is accepted to subtract the slope of the MAX line and the slope of the MIN line and divide by 2. This will give the uncertainty of the slope of the line of best fit.
Make an interpretation for the given picture below. Please refer to the subsequent picture for your guide in constructing your interpretation in the given table.
The average life expectancy of tires 40,000 miles. The company has rece The manager hopes to find out wheth life test, 40 tires were used, and their following SPSS results: One-Sample Statistics Std. Dev Mean time 40881.8262 40 2945 One- df Sig. (2-taile 1.893 Set up Ho: M = 40,000 %3D HA: The test statistic is 1.893 The distribution of the test stati Make the statistical decision (o Express the statistical decision
please provide full calculation
8
No tortilla chip aficionado likes soggy chips, so it is important to find characteristics of the production process that produce chips with an appealing texture. The following data on x = frying time (sec) and y = moisture content (%) appeared in an article. x 5 10 15 20 25 30 45 60 y 16.4 9.7 8.1 4.2 3.3 2.8 2.0 1.2 (a) Construct a scatter plot of y versus x. y 15 10- 5 y 15 O 10 10 20 30 40 50 5 10 20 10 NE X 50 60 30 60 40 X 15 y 10 O 5 O y 15 10 20 30 40 50 60 10 20 30 Comment. The plot has a curved pattern. A linear model would not be appropriate. O The plot has a curved pattern. A linear model would be appropriate. O The plot does not have a curved pattern. A linear model would be appropriate. O The plot does not have a curved pattern. A linear model would not be appropriate. 40 50 60 X X
Cathy makes a single deposit into an account earning 2.5% compounded monthly. After five years the account contains $3057.46.how much did she deposit?
Please answer from question 4 to last questionMy answers from question 1 to 3 are at the end Sarah wants to estimate the relationship between individual earnings in the labour market (earn) and years of education achieved (educ). She collects data from a sample of 122 individuals on their monthly salaries (Y), measured in rands, and education levels (X), measured in years of education.Based on these data, she derives the following estimates: ∑XY=41421943.8∑X2=15472∑X=1242∑Y=3401031 Question 1 The value for the slope parameter is ? Question 2 .The value for the intercept parameter is ? Question 3 If se(β2)=212.4477226, construct a 99% confidence interval for the parameter. Pr( ?. ≤β2≤ . )=99% Question 4 If se(β1)=2392.463897, construct a 99% confidence interval for the parameter. Pr( ? ≤β1≤ ?. )=99% Question 5 Under a simple interpretation of the above results, if an individual wishes to earn a monthly salary of R50 000, how many years…

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