Antagonistic interaction is said to be present when the joint effects of two variables is greater than the sum of their individual effects.

we can make a causal claim from the results of the chi-square test correct?

You are analyzing the number of bird species found in each county of Massachusetts. You have one observation per county, corresponding to the total number of species observed there during the Christmas Bird Count (a national bird count organized mainly by volunteers every year on Christmas). Your predictor variables are: population, percent forested habitat, number of highways that cross the county.  What kind of model do you use to analyze these data?   For the above model, you think there may be a non-linear effect of forest habitat based on the number of highways that cross the county, as this may cause the habitat to be more fragmented. You do not think there are any other non-linear effects.  Assume "county" is a variable for which county the data comes from  Assume "highways" is the number of highways in the county Assume "forest" is the percent of forested habitat Assume "population" is the population of the county Group of answer choices # species ~ county + highways *…

If a researcher found a significant interaction between Factor A and Factor B, what does this mean (in general)? O Both Factor A & Factor B have independent effects. O The effect of Factor A on the dependent variable depends on the level of Factor B. O Only Factor A is significant. none of the above.

To that end let X and Y to be two variables and suppose we have collected data on both of them from an underlying population: X1, X2, Xn V₁, V2, ... Yn Two-way table can be constructed in three different cases. 2 3 EX: We have collected data on Salary, Education, Gender, and Working Hours from all 10 employees of a Tech company in Kabul. Obs Gender Education Salary 1 4 5 6 7 8 9 10 M M F F F M M M M M HS BA MA MA Bivariate Analysis: Two way Table Two way Table: 1: Gender and Education: HS BA 0 4 4 PHD MA BA BA HS BA PowerPoint Slide Show - (BivarPart1.pptx) PowerPoint 10 20 30 35 50 38 25 23 15 26 Working Hrs 6 8 9 9 10 9 8 7 6 7 F 0 M2 2 MA 2 1 3 PHD 0 1 Total 3 7 10 Fr(Gender Male, Education=BA)= 4 MULTIPLE CHOICE QUESTION 1 Rewatch Submit

What does rejection of Ho: p = 0 imply for the regression equation ŷ = bo + bịx? Explain in 1 - 2 complete sentences.

To that end let X and Y to be two variables and suppose we have collected data on both of them from an underlying population: X1. X2......Xn V₁, V2, ... Yn Two-way table can be constructed in three different cases. Obs Gender 1 2 3 4 EX: We have collected data on Salary, Education, Gender, and Working Hours from all 10 employees. of a Tech company in Kabul. Education Salary 5 6 7 8 9 10 M M F F F M M M M M HS BA PowerPoint Slide Show- (BivarPart1.pptx)]-PowerPoint Bivariate Analysis: Two way Table Two way Table: 3: Working hrs and Salary: MA MA PHD MA BA BA HS BA 10 20 30 35 50 38 25 23 15 26 Working Hrs 6 8 9 9 10 9 8 7 6 7 Whr8 Total Sal 20 2 0 0 2 [20-30) 0 4 0 4 Sal> 30 0 0 4 4 Total 2 4 4 10 Fr(Whr =30)= 4 MULTIPLE CHOICE QUESTION 0 Rewatch Submit

The regression linear model between two variables X and Y, in pairs, defined as X=[4,2,3,5,2,4] and Y=[6,4,6,8,5,10] is equal to"     1.364x+1.955     1.364x+3.125     1.955x+1.364     1.25x+2     2x+1.25 correct option?

What is the Independent variable and the dependent variable of this problem?   A neuropsychologist is studying brainlateralization—the degree to which thecontrol of various cognitive functions islocalized more in one cerebral hemispherethan the other. This researcher is awarethat for men, being right-handed seemsto be associated with a greater degree oflateralization than does being left-handedbut that this relationship may not applyto women, who seem to be less lateralizedin general. Various tasks are used in combination to derive a lateralization scorefor each subject as shown in the followingtable.

Consider the model Y = ß0 + B₁X1 + ß₂X2 + B3X³ + B4X4 + €. If it is suggested to you that the two variables Z₁ = X₁ + X3 and Z2 = X₂ + X4 might be adequate to represent the data, what hypothesis, in the form C3 = 0, would you need to test? (Give the form of C.)