Question
In: Chemistry
1. Direct relationship: A relationship between two variables, where a change in one variable results in...
1. Direct relationship: A relationship between two variables, where a change in one variable results in the same change in the other variable. For example, if one variable is increased, then the other variable will also increase.
Indirect relationship: A relationship between two variables, where a change in one variable results in the opposite change in the other variable. For example, if one variable is increased, then the other variable will decrease.
a. Considering the terms described above, do the variables of pressure and volume have a direct or an indirect relationship in Boyle’s Law? Justify your answer with data.
b. Considering what you now know about Boyle’s law, make a prediction based on the following situation: What would happen to the pressure of a gas inside a sealed bottle, if the bottle was squeezed tightly, reducing the volume of the gas by half? Explain your thoughts.
2.Using Gay-Lussac’s law, make a prediction based on the following situation: What would happen to the pressure of a gas inside a sealed bottle, if the bottle were cooled to half of its original temperature? What happens to the movement of the gas molecules in the bottle at lower temperatures? Explain how this is or is not related to the change in pressure.
3.What conditions can we use to perform the experiment investigating Avogadro’s law? Why are they necessary?
Solutions
queen_honey_blossom answered 2 years agoRelated Solutions
What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables?
What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables? Think about your future clinical role and provide a clinical example of variables that you may want a correlation analysis run and explain. Think about your future clinical role and provide a clinical example of variables that you may want a regression analysis run and explain.
What does regression analysis test? A) Relationship between variables B) Prediction of one variable based on...
What does regression analysis test?
A) Relationship between variables
B) Prediction of one variable based on another variable
C) Differences between variables
D) Slope of the regression line
Perform one correlation between two independent variables, such as Age and Relationship with Coworkers. Perform the...
Perform one correlation between two independent
variables, such as Age and Relationship with Coworkers.
Perform the second correlation on an independent
variable (such as Relationship with Direct Supervisor) and the
dependent variable (such as Workplace Happiness Rating.
Gender
Age
Supervisor
Telecommute
Coworkers
Happiness
Engagement
Overall Rating
1
29
1
1
2
7
8
15
2
32
4
1
3
9
10
19
1
39
1
1
1
4
5
8
1
25
2
1
2
5
8
13
1
27...
One of the major misconceptions about correlation is that a relationship between two variables means causation;...
One of the major misconceptions about correlation is that a
relationship between two variables means causation; that is, one
variable causes changes in the other variable. There is a
particular tendency to make this causal error when the two
variables seem to be related to each other.
What is one instance where you have seen correlation
misinterpreted as causation? Please describe.
a. Calculate the covariance between variables X and Y. Is it a positive or negative relationship between the two variables?
Observation
x
y
1
-22
22
2
-33
49
3
2
8
4
29
-16
5
-13
10
6
21
-28
7
-13
27
8
-23
35
9
14
-5
10
3
-3
11
-37
48
12
34
-29
13
9
-18
14
-33
31
15
20
-16
16
-3
14
17
-15
18
18
12
17
19
-20
-11
20
-7
-22
Answer the following questions
a. Calculate the covariance between variables X and Y. Is it a
positive...
There is a positive relationship between two variables if they move in the same direction....
There is a positive relationship between two variables if
they move in the same direction.
they move in opposite directions.
neither variable moves.
one variable changes and the other does not.
One of the most obvious clues to the relative scarcity of a
product is
its current market price.
the variations in available sizes.
the quality of the product.
the limited selection of colors.
Recall the Application about the harmattan and how...
6. To determine the relationship between two variables while holding a third one constant you should...
6. To determine the relationship between two variables while
holding a third one constant you should calculate a ___________
A. Point biserial correlation
B. Partial correlation
C. Pearson correlation
D. Spearman correlation.
7. A candy bar manufacturer is interested in trying to estimate
how sales are influenced by the price of their product. To do this,
the company randomly chooses 6 small cities and offers the candy
bar at different prices. What is the correlation between candy
price and sales?...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear
relationship between two variables. (a) Distance (b) size (c)
strength (d) direction 2. 10 pairs of sample data were obtained
from a study which looked at household income and the number of
people in the household who smoked (cigarettes). The value of the
linear correlation coefficient r was computed and a result of -
0.989 was obtained. All of the following (below) are conclusions
that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear
relationship between two variables. (a) Distance (b) size (c)
strength (d) direction 2. 10 pairs of sample data were obtained
from a study which looked at household income and the number of
people in the household who smoked (cigarettes). The value of the
linear correlation coefficient r was computed and a result of -
0.989 was obtained. All of the following (below) are conclusions
that can be drawn from the...
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
1. The linear correlation coefficient r measures of the linear
relationship between two variables. (a) Distance (b) size (c)
strength (d) direction 2. 10 pairs of sample data were obtained
from a study which looked at household income and the number of
people in the household who smoked (cigarettes). The value of the
linear correlation coefficient r was computed and a result of -
0.989 was obtained. All of the following (below) are conclusions
that can be drawn from the...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- A company orders every 8 weeks. 52 weeks/8 weeks per order = 6.5 orders per year....
- Soto Inc. had the following utility cost with the related activity levels for the previous months....
- What is covariation between two variables? How is "covariation" (or correlation) between two variables different from...
- Question 1: What is For Loop? Explain with 2 Examples. You can write code in any...
- If a corporation has limited capital to use for project investment, but it has more projects...
- I have a problem with my code. It does not run. Please can someone check the...
- As discussed in the text, in the absence of market imperfections and tax effects, we would...
ADVERTISEMENT