Question

Create a scatter plot with the following data: (5, 40), (10,80), (17, 100), (20, 105), (23,100),...

Create a scatter plot with the following data: (5, 40), (10,80), (17, 100), (20, 105), (23,100), (30, 120). Which of the following statements is most correct? Question 8 options: The values for the dependent variable are determined by the values for the independent variable. The variable on the horizontal axis should be the independent variable. A scatter plot like this one shows the trend in the data over time. The values in a scatter plot should be connected by a straight line.

Homework Answers

Answer #1

Here the scatter plot

(a) The values for the dependent variable are determined by the values for the independent variable. The statement is somewhat true, but, we cannot determined the values of independent variable, we can only predict the value for independent variable.

(b) The variable on the horizontal axis should be the independent variable. The statement is general statement and true here.

(c) A scatter plot like this one shows the trend in the data over time. Here we dont know here that independent variable is time. So statement is false.

(d) The values in a scatter plot should be connected by a straight line. THere is no such boundation, they can be connected by a continous curve.

Option B is correct here.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma xHeight, x 768 628 518 511 491...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x 1 2 2 4 5 6...
A statistical program is recommended. Consider the following data for two variables, x and y. xi...
A statistical program is recommended. Consider the following data for two variables, x and y. xi 135 110 130 145 175 160 120 yi 145 105 120 115 130 130 110 (a) Compute the standardized residuals for these data. (Round your answers to two decimal places.) xi yi Standardized Residuals 135 145 110 105 130 120 145 115 175 130 160 130 120 110 Do the data include any outliers? Explain. (Round your answers to two decimal places.) The standardized...
Consider the following data for two variables, x and y. xi 135 110 130 145 175...
Consider the following data for two variables, x and y. xi 135 110 130 145 175 160 120 yi 145 105 120 115 130 130 110 (a) Compute the standardized residuals for these data. (Round your answers to two decimal places.) xi yi Standardized Residuals 135 145 110 105 130 120 145 115 175 130 160 130 120 110 Do the data include any outliers? Explain. (Round your answers to two decimal places.) The standardized residual with the largest absolute...
A small business has recorded sales over the last 20 years.  The data is provided in accompanying...
A small business has recorded sales over the last 20 years.  The data is provided in accompanying workbook, tab “Small Business”. The business would like to use this data to provide a sales forecast for the future, specifically, the next two years. Build a spreadsheet that shows all the forecasts on a side-by-side basis so they can be compared for effectiveness using an error measure. Create a chart showing the data in time.  Discuss any patterns in the dat Create moving average...
The data set below contains the average yearly retail gasoline prices​ (cents/gallon) from 1990 to​ 2007,...
The data set below contains the average yearly retail gasoline prices​ (cents/gallon) from 1990 to​ 2007, from a regional sample of gasoline stations. Complete parts a through c. Full data set Year 1990 1991 1992 1993 1994 1995 1996 1997 1998 Price 9090 102102 112112 119119 123123 107107 9999 103103 9797 Year 1999 2000 2001 2002 2003 2004 2005 2006 2007 Price 115115 133133 153153 141141 191191 201201 190190 247247 285285 ​a) Create a histogram of the data and describe...
Data For Tasks 1-8, consider the following data: 7.2, 1.2, 1.8, 2.8, 18, -1.9, -0.1, -1.5,...
Data For Tasks 1-8, consider the following data: 7.2, 1.2, 1.8, 2.8, 18, -1.9, -0.1, -1.5, 13.0, 3.2, -1.1, 7.0, 0.5, 3.9, 2.1, 4.1, 6.5 In Tasks 1-8 you are asked to conduct some computations regarding this data. The computation should be carried out manually. All the steps that go into the computation should be presented and explained. (You may use R in order to verify your computation, but not as a substitute for conducting the manual computations.) A Random...
1. For a pair of sample x- and y-values, what is the difference between the observed...
1. For a pair of sample x- and y-values, what is the difference between the observed value of y and the predicted value of y? a) An outlier b) The explanatory variable c) A residual d) The response variable 2. Which of the following statements is false: a) The correlation coefficient is unitless. b) A correlation coefficient of 0.62 suggests a stronger correlation than a correlation coefficient of -0.82. c) The correlation coefficient, r, is always between -1 and 1....
Total utility can be objectively measured in numbers that indicate usefulness or benefit to the consumer....
Total utility can be objectively measured in numbers that indicate usefulness or benefit to the consumer. ____ 2. Consumers should purchase quantities of a good to the point where MU > P. ____ 3. Voluntary exchange requires that there must be mutual gain. ____ 4. Points along a budget line represent the maximum combinations of two commodities that a consumer can afford. ____ 5. The budget line represents a consumer's preferences for a commodity. ____ 6. A change in consumer...
Please answer the following Case analysis questions 1-How is New Balance performing compared to its primary...
Please answer the following Case analysis questions 1-How is New Balance performing compared to its primary rivals? How will the acquisition of Reebok by Adidas impact the structure of the athletic shoe industry? Is this likely to be favorable or unfavorable for New Balance? 2- What issues does New Balance management need to address? 3-What recommendations would you make to New Balance Management? What does New Balance need to do to continue to be successful? Should management continue to invest...