00:01
Hi, i'm david and i'm here to ham here and see your question.
00:03
In the question here, we are given the data set for the fuel consumption and the weight of the car.
00:08
Now let me bring up the data on the top here.
00:12
And in the first question, i ask you to write down what is the explanatory variable and what is the response variable.
00:21
Here we need to predict the fuel consumption based on the weight of the car.
00:25
So therefore, the explanatory variable, it will equal to the value.
00:33
Weight and then the response variable that will be the fewer consumption and then for the question b i want to draw the scatter plot and i did it here so let me bring it up for you and let me copy it and put it on the right here let me put it into the center and there will be the scatter plot on the data we have where we have the the horizontal axis will be the weight and the vertical axis will be the few consumptions.
01:25
And then we will see that there should be the linear length, the linear line that going down in this way.
01:31
And that will be the answer for the b.
01:33
And then for the c, here is there sufficient evidence to conclude that is a linear relationship.
01:40
So to find this one, i will test the known hypothesis with the row equal to the 0 versus the 0 -1sternetal hypothesis grow will not equal to the 0.
01:54
Notice that this is the 2 -tel test.
01:57
And the first step we need to find will be the test statistics equal to the t.
02:03
The formula will be equal to the r divided square root of 1 minus r squared the 1 minus square the 1bun bn minus 2.
02:12
Now based on the table and we have computed the r here, it will equal to the zbon 8 -91.
02:22
And it will plug in into the formula...