Answer:
1. Co-variance= -1.2
2. correlation coefficient= -0.4404
3. There is weak negative relationship between x and y.
Explanation:
1.
Co-variance= Cov(x,y)= sum[(x-xbar)(y-ybar)]/n
xbar=sumx/n=32/5=6.4
ybar=sumy/n=35/5=7
x 7 8 5 3 9
x-xbar 0.6 1.6 -1.4 -3.4 2.6
y 7 5 9 7 7
y-ybar 0 -2 2 0 0
(x-xbar)(y-ybar) 0 -3.2 -2.8 0 0
Cov(x,y)= sum[(x-xbar)(y-ybar)]/n=-6/5=-1.2
Cov(x,y)=-1.2
2.
correlation coefficient=r
x 7 8 5 3 9
x-xbar 0.6 1.6 -1.4 -3.4 2.6
y 7 5 9 7 7
y-ybar 0 -2 2 0 0
(x-xbar)(y-ybar) 0 -3.2 -2.8 0 0
(x-xbar)² 0.36 2.56 1.96 11.56 6.76
(y-ybar)² 0 4 4 0 0
r=-0.4404
3. Since the value of correlation coefficient is negative and less than 0.5 , so, we can say that there is weak negative relationship between x and y.
Answer:
Explanation:
Mountains have a certain point of where they can block certain things. In the news they could say this area is going to receiv massive winds or a massive amount of snow, but unless they count the mountains in the equation of snow and winds in that area that eww could be fake. Mountains could stop an area from have snow or winds because they are blocking it.
Answer:
Objective Test
Explanation:
Objective tests or Objective Assessment are measures in which responses maximize objectivity, in the sense that response options are structured such the person answering them have only a limited set of options to choose from.
Objective items may include multiple-choice, true-false, agree or disagree from the question context.
Furthermore An objective assessment is a test that has right or wrong answers and it is also marked objectively. Objective tests are popular because they are easy to prepare and take, quick to mark, and provide a quantifiable and concrete result. For example. Agree or Disagree questions based on a text can be used in an objective test.
