Identify the least squares point estimates 30 and 3₁.Identify SSE, s² and s.Identify p-value for testingHo 10, Ha: ₁0.Using p-value, state the conclusion by setting a equal to .05. (What do you conclude aboutthe relationship between y and x)?Calculate 95% and 99% confidence interval for ₁.Identify the p-value for testingHo: Po = 0,Ha : Bo 0.Using p-value, state the conclusion by setting a equal to .05.Report a point estimate of and a 95% confidence interval for the mean demand and predic-tion interval for the actual demand for Fresh in all sales periods when the price differenceis 0.1.Find the total variation, the unexplained variation, the explained variation, the simplecoefficient of determination (r2). Also, interpret r². A1 Demand2WN345678910111213141516171819202122232425262728293031327.388.519.527.509.338.288.757.877.108.007.898.159.108.868.908.879.269.008.757.957.657.278.008.508.759.218.277.677.939.26BPriceDif-0.050.250.600.000.250.200.150.05-0.150.150.200.100.400.450.350.300.500.500.40-0.05-0.05-0.100.200.100.500.60-0.050.000.050.55C

Answered: Identify the least squares point…

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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2. The sensitivity (True Positive) and specificity (True Negative) for a diagnostic test (T) are .99 and .95 respectively. The prevalence of the disease (D) is .001. Find the predictive value of a positive test result.
A test of hypothesis is conducted to determine if the yields from a type of fruit tree were less than the expected 150 pounds per tree. They want to be 90% confident of their results. The computed z-score was 2.37. Find the p-value using a left-tailed test of hypothesis and state the decision. Show what value you are comparing the p-value to
use the appropr Given are five observations collected in a regression study on two variables. may Yi 2 6 9 13 20 9 19 7 26 21 Die or X to 2.44 X to 29.82 Develop the 95% confidence and prediction intervals when x = 10. (Round your answers to two decimal places.) confidence interval -1.04 prediction interval -11.02 hnology to answer this yu XX
Researchers wanted to know if therapy could help smokers quit smoking. Of the 71 smokers they tested, 39 were smoking one year after treatment. Use a 0.05 significance level to test the claim that the majority are smoking one year after treatment. What is/are the critical value(s)? ттT Arial 3 (12pt) v TE -E · -
Construct a 95% confidence interval for μ1−μ2 with the sample statistics for mean calorie content of two bakeries' specialty pies and confidence interval construction formula below. Assume the populations are approximately normal with equal variances.
In Company X, the personnel department gives two aptitude tests to applicants. One measures verbal ability while the other measures quantitative ability. From many years of experience, the company has found that a person's verbal score Y1 is normally distributed with mean of 50 and standard deviation (stdev) of 10. The quantitative scores Y2 are also normally distributed with mean of 100 and stdev 20. Y1 and Y2 appear to be independent. A composite score, Y, is assigned to each applicant where: Y= 3Y1 + 2Y2.Applicants whose composite scores are below 375 are automatically rejected. What is the probability that a random applicant gets automatically rejected? If six applicants submit resumes, what are the chances that fewer than half will fail the screening test?
Suppose that a researcher, using data on 150 randomly selected bicycles, estimates the OLS regression: Price=672.65-2.12x Weight, (185.8) (0.42) where Price measures the price of the th bike in dollars and Weight measures the weight of the th bike in kilograms. The 99% confidence interval for the intercept, ßo, will be (, ). (Round your answers to two decimal places.)
A researcher wishes to compare the mean of time spent watching TV in a day between men and women to test if the mean watching time for men equals the mean time for women. Assume that he performed the needed test and produce the following results: Gender N Mean Standard deviation Female 116 1.95 1.51 Male 59 2.37 1.85 95% confidence Interval for (µ,-µ,):(0.79,0.94) I. Which of the following is the correct conclusion about these results using a 5% significant level? OThe mean TV watching times of men and women are equal OThere is a statistically significant difference between the mean TV watching times of men and women. OThere is not a statistically significant difference between the mean TV watching tímes of men and women. OThere is not enough information to conclude II. Which statement is correct about p-value based on your conclusion about the test? Op-value0.05 Opvalue>0.005 OCannot be determine from the information given
Write TRUE if the statement is unconditionally true. Otherwise, write FALSE. 1. If Ho is rejected at 0.05 level of significance, then Ho will also be rejected at0.10 level of significance using the same test on the same dataset.2. A 95% confidence interval estimate for μ given to be (15, 19) will reject the nullhypothesis Ho: μ = 20 vs Ha: μ ≠ 20 at 0.05 level of significance.3. In testing for a disease, the null hypothesis is the person is healthy while thealternative hypothesis is the person has the disease. If a healthy person isdiagnosed as having the disease, a Type I error is committed.
Construct a 99% confidence interval for u, - H, with the sample statistics for mean cholesterol content of a hamburger from two fast food chains and confidence interval construction formula below. Assume the populations are approximately normal with unequal variances Stats X, = 98 mg, s,= 3.81 mg, n, = 14 x = 65 mg, s, =222 mg, n, =20 Confidence interval when variances are not equal +t. n2 d.f. is the smaller of n, - 1 or n, - 1 Enter the endpoints of the interval
the data support the claim that the average ACT composite score of students from this students is randomly selected from a local high school with an X = 23 and s = 5.2. Do ACT composite scores are normally distributed with a u = 21. A sample of 25 students is randomly selected from a local high school with an X= 23 and s =5.L.D high school is different than 21 on the ACT composite score, using x = .05?
q7

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Demand	Price Diff
7.38	-0.05
8.51	0.25
9.52	0.6
7.5	0
9.33	0.25
8.28	0.2
8.75	0.15
7.87	0.05
7.1	-0.15
8	0.15
7.89	0.2
8.15	0.1
9.1	0.4
8.86	0.45
8.9	0.35
8.87	0.3
9.26	0.5
9	0.5
8.75	0.4
7.95	-0.05
7.65	-0.05
7.27	-0.1
8	0.2
8.5	0.1
8.75	0.5
9.21	0.6
8.27	-0.05
7.67	0
7.93	0.05
9.26	0.55