n the accompanying table, x is the tensile force applied to a steel specimen in thousands of pounds, and y is the resulting elongation in thousands of an inch: X 1 2 3 4 5 Y 14 33 40 63 76 85 a) Find the equation of the least squares line, and use it to predict the elongation when the tensile force is 3.5 thousand pounds. b) Construct a 95% confidence interval for B, the elongation per thousand pounds of tensile stress; c) Find 95% limits of prediction for the elongation of a specimen with x 3.5 thousand pounds.
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- Question 9 A well-known brokerage firm executive claimed that 60% of investors are currently confident of meeting their investment goals. An XYZ Investor Optimism Survey, conducted over a two week period, found that in a sample of 100 people, 61% of them said they are confident of meeting their goals.Test the claim that the proportion of people who are confident is larger than 60% at the 0.10 significance level.The null and alternative hypothesis would be: H0:μ≤0.6H0:μ≤0.6H1:μ>0.6H1:μ>0.6 H0:p≥0.6H0:p≥0.6H1:p<0.6H1:p<0.6 H0:p≤0.6H0:p≤0.6H1:p>0.6H1:p>0.6 H0:μ≥0.6H0:μ≥0.6H1:μ<0.6H1:μ<0.6 H0:μ=0.6H0:μ=0.6H1:μ≠0.6H1:μ≠0.6 H0:p=0.6H0:p=0.6H1:p≠0.6H1:p≠0.6 The test is: left-tailed right-tailed two-tailed The test statistic is: (to 2 decimals)The p-value is: (to 4 decimals)Based on this we: Fail to reject the null hypothesis Reject the null hypothesisQuestion 17: A well-known brokerage firm executive claimed that 90% of investors are currently confident of meeting their investment goals. An XYZ Investor Optimism Survey, conducted over a two week period, found that in a sample of 100 people, 81% of them said they are confident of meeting their goals.Test the claim that the proportion of people who are confident is smaller than 90% at the 0.05 significance level.The null and alternative hypothesis would be: H0:p≤0.9H0:p≤0.9H1:p>0.9H1:p>0.9 H0:μ≤0.9H0:μ≤0.9H1:μ>0.9H1:μ>0.9 H0:μ≥0.9H0:μ≥0.9H1:μ<0.9H1:μ<0.9 H0:μ=0.9H0:μ=0.9H1:μ≠0.9H1:μ≠0.9 H0:p=0.9H0:p=0.9H1:p≠0.9H1:p≠0.9 H0:p≥0.9H0:p≥0.9H1:p<0.9H1:p<0.9 The test is: two-tailed right-tailed left-tailed The test statistic is: (to 3 decimals)The p-value is: (to 4 decimals)Based on this we: Fail to reject the null hypothesis Reject the null hypothesisQuestion 2 A researcher was interested in studying if there is a significant relationship between the severity of COVID 19 and blood types of individuals. 2400 individuals were studied and the results are shown below. Condition Blood Type O A B AB Total Critical 64 44 20 8 136 Severe 175 129 50 15 369 Moderate 211 528 151 125 1015 Mild 200 400 140 140 880 Total 650 1101 361 288 240 a .State both the null and alternative hypotheses. b. Provide the decision rule for making this decision. Use an alpha level of 5%. c. Show all of the work necessary to calculate the appropriate statistic.d. What conclusion are you allowed to draw? e. Would your conclusion change at the 10% level of significance?
- Now, the predictors flyer and display were added to the dataset and a multiple linear regression model was fitted. Part of the R output is shown below Estimate Standard Error Intercept 81.23 35.24 Price -0.0318 0.023 Flyer 10.21 3.28 Display 21.67 13.27 Adj R Square = 78.8% Express the least squares regression model. Interpret the coefficient of Flyer and Display in the context of the problem. 3-Calculate a 95% confidence interval of Flyer and interpret the same in the context of the problem. Can we say that promoting a product through fliers significantly affect its sales? 4-What is the coefficient of multiple determination of this model? Interpret its value. 5-Suppose you want to test whether Price has a positive effect on Sales controlling for Flyer and Display. Carry out an appropriate test at α = .05 and state your conclusion in the context of the problem. Hypotheses : H0 : Ha :…Suppose Wesley is a marine biologist who is interested in the relationship between the age and the size of male Dungeness crabs. Wesley collects data on 1,000 crabs and uses the data to develop the following least-squares regression line where ? is the age of the crab in months and ?̂ is the predicted value of ?, the size of the male crab in cm. ?̂=8.2052+0.5693? What is the value of ?̂ when a male crab is 21.7865 months old? Provide your answer with precision to two decimal placeGiven are five observations for two variables, and . Xi 1 2 3 4 5 Yi 4 7 7 12 14 The estimated regression equation for these data is yhat = 1.3+2.5x. a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSE SST SSR b. Compute the coefficient of determination rsquare (to 3 decimals). Does this least squares line provide a good fit? - Select your answer -No, the least squares line does not produce much of a fitYes, the least squares line provides a very good fitItem 5 c. Compute the sample correlation coefficient (to 4 decimals).
- Problem: M&M/Mars, the makers of Skittle candies, states the flavor blend is 20% for each flavor. The table below shows the number of each flavor found in four randomly selected bags of original Skittles. Flavor Observed Frequency Lemon 52 Lime 43 Orange 50 Strawberry 44 Grape 44 Using the Chi-Square goodness of fit test, state the null and alternative hypotheses. Compute the chi-square test statistic. Find the chi-square critical value and assume α = .05. State your conclusion (reject or do not reject the null) and summarize the results. When the observed and expected values are closer together, explain the effect on the chi-square test statistic.Questions 15-18 use the following information. Suppose in a sample of 5 men that their monthly income y (in thousands of dollars) is regressed on years of schooling x1 and ages x2. Excel output below shows: a) Question 15. At 5% significance level, the model is (options: not significant, not able to determine, significant) b) For someone with 5 years of schooling and 35 years of age, the expected monthly income is closest to (options: $5,300; 6,500; 6,700; 6,900) c)At 5% significance, which one of the following statements is true? (options: both x1 and x2 are significant; both are not significant; only x1 is significant; only x2 is significant) d) A 95% confidence interval for β2 is closest to (– 1.092, 0.672; – 2.14635, 1.72635)Suppose Wesley is a marine biologist who is interested in the relationship between the age and the size of male Dungeness crabs. Wesley collects data on 1,000 crabs and uses the data to develop the following least-squares regression line where ? is the age of the crab in months and ?ˆ is the predicted value of ?, the size of the male crab in cm. ?ˆ=8.1312+0.5226? What is the value of ?ˆ when a male crab is 23.0736 months old? Provide your answer with precision to two decimal places. ?ˆ = Interpret the value of ?. The value of ?ˆis the predicted size of a crab when it is 23.0736 months old. the predicted incremental increase in size for every increase in age by 23.0736 months. the predicted number of crabs out of the 1,000 crabs collected that will be 23.0736 months old. the probability that a crab will be 23.0736 months old.
- problem 1 A local health centre noted that in a sample of 400 patients, 80 were referred to them by the localhospital.a. Provide a 95% confidence interval for all the patients who are referred to the health centre bythe hospital. b.What sample size would be required to estimate the proportion of all hospital referrals to thehealth centre with a margin of error of 0.04 or less at 95% confidence? problem 2 The data in the table below presents the hourly quantity of production for three lines of productionprocesses over the first 4 days in XYZ Company. Answer the questions based on the Excel Output givenbelow. Day Process 1 Process 2 Process 31 33 33 282 30 35 363 28 30 304 29 38 34 a.State the null and alternative hypothesis for single factor ANOVA.b. State the decision rule (α = 0.05).c. Calculate the test statistic. d. Make a decision.A researcher collected data on the cholesterol level, CC, and the age, AA, of 24 people selected at random. Using the data, the researcher calculated the least-squares regression line to be Cˆ=182+2.2AC^=182+2.2A and the standard error of the slope to be 0.38. If the conditions for inference are met, which of the following is closest to the value of the test statistic to test the hypotheses H0:β=0H0:β=0 versus Ha:β≠0Ha:β≠0 ?Suppose John is a high school statistics teacher who believes that watching many hours of TV leads to lower test scores. Immediately after giving the most recent test, he surveyed each of the 24 students in his class and asked them how many hours of TV they watched that week. He then matched each student's test grade with his or her survey response. After compiling the data, he used hours of TV watched to predict each student's test score. He found the least-squares regression line to be ?̂ =−1.5?+85y^=−1.5x+85. He also calculated that the value of ?r, the correlation coefficient, was −0.61. Which of the choices identifies the correct value of the coefficient of determination, ?2R2, and gives a correct interpretation of its meaning?