Annual high temperatures in a certain location have been tracked for a sample of 11 years. Let X represent the year and Y the high temperature (in C°). 4 28.6 5 30.2 6 35.6 7 37.3 38.4 44.6 10 44.8 48.1 11 12 51.5 13 55.3 14 57.8 Calculate the correlation coefficient. (Round to three decimal piaces.) Let's test the significance of the correlation coefficient at a = 0.05 significance level. Hạ: There is not a significant relationship between the year and high temperature, i.e., p = 0. Hạ: There is a significant relationship between the year and high temperature, i.e., p £ 0.

Annual high temperatures in a certain location have been tracked for a sample of 11 years. Let X represent the year and Y the high temperature (in C°). 4 28.6 5 30.2 6 35.6 7 37.3 38.4 44.6 10 44.8 48.1 11 12 51.5 13 55.3 14 57.8 Calculate the correlation coefficient. (Round to three decimal piaces.) Let's test the significance of the correlation coefficient at a = 0.05 significance level. Hạ: There is not a significant relationship between the year and high temperature, i.e., p = 0. Hạ: There is a significant relationship between the year and high temperature, i.e., p £ 0.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A correlation is computed for a sample of n = 18 pairs of X and Y values. What correlations are statistically significant with ? = .05, two tails? correlations between 0.468 and −0.468 correlations greater than or equal to 0.468 and correlation less than or equal to −0.468 correlations between 0.456 and −0.456 correlations greater than or equal to 0.456 and correlation less than or equal to −0.456
Compute the correlation coefficient between systolic and diastolic blood pressure. Round the answer to at least three decimal places.
It is known that the slope coefficient for regression line Y on X is 0.942 The standard deviation of X and Y are 5 and 9 respectively. Find the value of the correlation coefficient for using given information.
A correlation coefficient of .85 is co sidereal strong. True, false, neither or unable to determine. See attached.
A correlation coefficient of -.91 is strong. True, false, both or unable to determine. See attached.
A random sample of data has a mean of 75 and a variance of 25.a. Use Chebyshev’s theorem to determine the percent of observations between 65 and 85.b. If the data are mounded, use the empirical rule to find the approximate percent of observations between 65 and 85.
Determine if there is an association between the cognitive strategy, cognitive reflectivity and the gray matter density of the ventral medial prefrontal cortex in the 22 participants? Here is a link to the data set collected by the researchers. Plot the data and calculate the correlation coefficient (r). Report your answer rounded to two decimal places. Use the Statistical Table C found in the Beetle Book on page 709-710 to find the critical t-value (0.05). Use formulas, functions, and the data analysis tool pack in Excel to avoid accruing rounding errors. Useful functions include =TDIST(t value,degrees of freedom,tails) to produce a p value for any type of a t-test from a data set =SQRT((1-r)/degrees of freedom) to produce the standard error of the correlation coefficient from a calculated correlation coefficient (r) statistic =CORREL(array1, array2) to produce a r value from a calculated correlation coefficient statistic =IF(t value < critical t,"reject","accept") to…
. In estimating a regression based on monthly observations from January 1987 to December 2002 inclusive, you find that the coefficient on the independent variable is positive and significant at the 0.05 level. you are concerned, however, that the t-statistic on the independent variable may be inflated because of serial correlation between the error terms. Therefore, you examine the Durbin–Watson statistic, which is 1.8953 for this regression. Based on the value of the Durbin Watson statistic, what can you say about the serial correlation between the regression residuals? are they positively correlated, negatively correlated, or not correlated at all? Compute the sample correlation between the regression residuals from one period and those from the previous period. Perform a statistical test to determine if serial correlation is present. assume that the critical values for 192 observations when there is a single independent variable are about 0.09 above the critical values for 100…
The correlation between height and weight of a sample of 100 individuals is calculated to be 0.8 using Pearson's r. What can we conclude about the relationship between height and weight in the population from which the sample was taken?
X and Y be standard normal random variables with correlation ρ. Compute the joint and marginal distributions of X + Y and X-Y . Are X + Y and X-Y independent?
For a sample of 306 students in a basic business statistics course, the sample regression liney = 58.813 + 0.2875xwas obtained. Here,y = final student score at the end of the coursex = score on a diagnostic statistics test given at the beginning of the courseThe coefficient of determination was 0.1158, and the estimated standard deviation of the estimator of the slope of the population regression line was 0.04566.a. Interpret the slope of the sample regression line.b. Interpret the coefficient of determination.c. The information given allows the null hypothesis that the slope of the population regression line is 0 to be tested in two different ways against the alternative that it is positive. Carry out these tests and show that they reach the same conclusion.
Compute the correlation coefficient between the temperatures of the left and right feet. Round the answer to at least three decimal places.