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A: given data Var(Fahrenheit) = 340.57 Var(Celsius) = ? Conversion between Fahrenheit and Celsius is a…
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- Find the least regression line of (0, -3), (1, –1), (2, 1) and (3, 3)Suppose that the regression model is defined as: y=B1x+u Use the least squares method to estimate the slope of the regression line. Define the objective function that will be used in the estimation. Lastly, enumerate the steps in deriving the estimator of B1The variance of temperatures (Fahrenheit) in Denver, Colo. is 328.87. What is this variance if temp is re-expressed in Celsius? [Hint: Conversion between Fahrenheit and Celsius is a linear transformation: Fahrenheit = Celsius*1.80 + 32, or Celsius = Fahrenheit*(1/1.80) - (32/1.80)]
- Hello, I am working on an assignment in research design. How do I calculate cronbach's alpha for a multiple regression analyis of prayer on a set of 5 different vital signs? (heart rate, blood pressure, temp, O2, and resp)For each of the correlations respond with the following (Revise*Anxiety, Revise*Exam, and Anxiety*Exam) 1. Was the correlation significant? 2. Report the results in APA formatResearch was belng conducted on whether a new diet wll help reduce a person's cholesterol level. The doctor randomly selected some of his patients and recorded their cholesterol levels before and after completing the dlet. The data is gven below. Test the claim that the dlet Is effective In reducing a person's cholesterol level at the a 0.05 level of significance. Patlent C. Cholesterol Level Before 209 210 205 198 216 217 238 Diet Cholesterol Level After 200 198 197 196 214 211 222 Diet Calculator Function [ Select ] P-Value [ Select ]
- explain the model that givenConsider the following population model for household consumption: cons = a + b1 * inc+ b2 * educ+ b3 * hhsize + u where cons is consumption, inc is income, educ is the education level of household head, hhsize is the size of a household. Suppose a researcher estimates the model and gets the predicted value, cons_hat, and then runs a regression of cons_hat on educ, inc, and hhsize. Which of the following choice is correct and please explain why. A) be certain that R^2 = 1 B) be certain that R^2 = 0 C) be certain that R^2 is less than 1 but greater than 0. D) not be certainwhat is csc(alpha+beta)=?
- Myocardial blood flow (ml/min/g) was measured for a group of cyclists under normal oxygen levels after 5 minutes of bicycle exercise. The following is some R code and output using the "t.test" function. > t.test (normoxia, mu=3, alternative="less") One Sample t-test data: normoxia t = -2.5751, df = 9, p-value = 0.01497 alternative hypothesis: true mean is less than 3 95 percent confidence interval: -Inf 2.85968 sample estimates: mean of x 2.513 At the 0.05 significance level, identify the correct interpretation for the conclusion in the context of the setting for the hypothesis test done in the t.test output above (step 6 of a hypothesis test). O a. There is significant evidence to conclude Myocardial blood flow tends to be greater than 3 for cyclists after 5 minutes of bicycle exercise. Ob. There is significant evidence to conclude Myocardial blood flow tends to be less than 3 for cyclists after 5 minutes of bicycle exercise. Oc. There is significant evidence to conclude Myocardial…A regression was done for 20 cities with the latitude (Latitude), a measurement of the distance of a location on the Earth from the equator in degrees and the average January temperatures (Temp) as the dependent variable measure in. The regression equation is a) The value of the slope is [Select ] [Select] TEMP=48.4 -0.31 x LATITUDE b) The predicted average January temperatures for the 20 cities for a latitude of 45 degrees is [Select] ✓. If in fact the [Select] average January temperature for a latitude of 45 degrees is 40° F , the residual is [Select] which is a(n) [Select] which means c) The coefficient of determination is R²: 66.2%. This value means [Select] The correlation r, is which means [Select] d) The y-intercept is [Select] the problem interprets to [Select] make sense in the context of the problem? [Select] Formulas: r = ±√R² Residual actual y - predicted y 0.7<|rl≤1 very strong 0.5Is this statement TRUE or FALSE?Gaussian Elimination is the process of deriving a simple function from a set of discrete data pointsSEE MORE QUESTIONS
