A)Test the claim, at the a = 0.10 level of significance, that a linear relation exists between the two variables, for the data below, given that y-1885x+ 0.758. -5 |-3| 4 11 --2|0| 2 3 -4 -6 3. -5 Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis? tep 5) Write the conclusion.

In this tab, we will run a statistical test to help us determine whether the bagworm is really preferring evergreen trees and shrubs over deciduous trees and shrubs. In this problem we are treating bagworm number as a continuous variable. Our statistical null hypothesis for this test is: The mean number of bagworms on evergreen trees will be the same as the mean number of bagworms on deciduous trees. Our statistical alternate hypothesis for this test is: The mean number of bagworms on evergreen trees will be different than the mean number of bagworms on deciduous trees. 1. Because you will be comparing the means of two groups and you are not specifying which direction the difference will be in, which test should you use? Highlight the correct answer below using the same color font you have been using for your other answers. i. Unpaired student’s t-test, one-tailed ii. Unpaired student's t-test, two-tailed iii. Paired student's t-test, one-tailed iv. Paired student's t-test, two-tailed…

For a data set of brain volumes (cm') and IQ scores of eight males, the linear correlation coefficient is r=0.345, Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation? Click the icon to view the table of critical values of r. The critical values are (Type integers or decimals, Do not round. Use a comma to separate answers as needed.)

The following table was generated from the sample data of 10 newborn babies regarding the weight of the mother at birth, the weight of the father at birth, and the weight of the baby at birth. The dependent variable is the weight of the baby, the first independent variable (x)) is the mother's weight, and the second independent variable (x2) is the father's weight. Coefficients Standard Error t-Stat p-value Intercept 9.739264 1.337045 7.284173 0.000165 Mother's Weight -0.929448 0.137340 - 6.767476 0.000261 Father's Weight 0.717791 0.159475 4.500951 0.002795 Copy Data Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Answer E Tables E Keypad How to enter your answer (opens in new window) Keyboard Shortcuts X + X2