Homework Answers
The regression equation is
y = 2.50 + 2.00 t
| Predictor | Coef | SE Coef | T | P |
| Constant | 2.5 | 0.8660 | 2.89 | 0.102 |
| t | 2.0000 | 0.3162 | 6.32 | 0.024 |
S = 0.707107 R-Sq = 95.2% R-Sq(adj) = 92.9%
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HELP ASAP Consider the following time series data: 1 2 3 Y 4 7 9 . 10 Calculate a 90% prediction interval for the v...
17) The following linear trend expression was estimated using a time series with 17 time periods...
17) The following linear trend expression was estimated using a time series with 17 time periods (that is, the values of tare 1, 2, V,= 129.23.8t Calculate a 95% prediction interval for the value of Y at time period t 18 (i.e, h 1 period ahead). Use the fact that the average of the time values is 9, the standard deviation of the time values is s 5.05, and the regression standard error se 0.841. Take all calculations and the...
10. Use the computer to create a prediction interval for the Y for the values of...
10. Use the computer to create a prediction interval for the Y for the values of X of your 15th observation (Statistix calls them cases). Interpret this confidence interval. (4 points) Predicted/Fitted values of Rent Lower Predicted Bound Predicted Value Upper Predicted Bound SE (Predicted Value) 8.1160 1404.5 2800.9 694.50 Lower Fitted Bound Fitted Value Upper Fitted Bound SE (Fitted Value) 1094.4 1404.5 1714.6 154.25 Unusualness (Leverage) Percent Coverage Corresponding T. 0.0519 95 2.01 Case number 15 was used to...
Consider the following time series: 1 2 3 4 4 7 9 10 The forecast for...
Consider the following time series: 1 2 3 4 4 7 9 10 The forecast for period 5, to two decimal places, would be Hint: You have to first find the estimated regression equation. You can do this in Excel in three ways: 1). Make a scatterplot of the data above, right-click on the data, and use the "Add trendline" option. Check the box that says "display the equation on the chart." 2). Fit the regression model using the Data...
· Supposed the best fitting model for a time series is y(t) = 10 + 0.41y(t-1). Suppose the observ...
· Supposed the best fitting model for a time series is y(t) = 10 + 0.41y(t-1). Suppose the observation values for the first five periods (read left to right ) are: 25,22,15,19,28. What is the prediction for period 6?
#2 Options The Prediction Interval would: -be identical to the confidence interval- -have the sam...
#2 Options
The Prediction Interval would:
-be identical to the confidence interval-
-have the same center as, but would be narrower than the
confidence interval-
-be to the left of the confidence interval-
-be to the right of the confidence interval-
-have the same center as, but would be wider than the confidence
interval-
#3 Options
The interval computed from a mileage of 31.0 would:
-be narrower but have the same center-
-be wider but have the same center-
-be...
HELP ASAP For the data set below, calculate the correlation between X and Y to three...
HELP ASAP
For the data set below, calculate the correlation between X and Y to three (3) decimal places. To Use Excel's CORREL Function 1). Open up the worksheet above and select a blank cell you might need to click "Enable Editing" to select a cell). 2). Type -CORRELL 3). For "arrayı, select the column of values for one of the variables. Remember, for correlation that it does not matter which variable you call "X" and which you call "Y."...
Consider the following time series data. t 1 ය 6 11 2 4 5 Y 9...
Consider the following time series data. t 1 ය 6 11 2 4 5 Y 9 13 15 a. Which of the following is a correct time series plot for this data? 1. TimeSeries Value 14 -12 10 te 16 -4 F2 3 Time Period/t) 2. TimeSeries Value +14 +12 10 18 6 -4 1 3 Time Period (t) 3. TimeSeries Value F14 +12 10 18 6 -4 2 2 Time Period (t) - Select your answer. What type of...
3. (40 points) Use the graph, an output of the least squares prediction equation for the starting salary data (in thous...
3. (40 points) Use the graph, an output of the least squares prediction equation for the starting salary data (in thousands of dollars) given a graduated student's cumulative GPA, and the table of sampled data below to do the following Student ID GPA(x) 3.26 Starting Salary (y) 33.8 2.60 29.8 3.35 33.5 2.86 30.4 3.82 36.4 2.21 27.6 3.47 35.3 Regression Plot Y= 14.8156 + 5.70657x R-Sq 0.977 寸 853 4.0 2.0 2.5 3.0 3.5 GPA (a) Identify and interpret...
I just need help with questions 5,6 and 7 Economists wish to look at the relationship...
I just need help with questions 5,6 and 7
Economists wish to look at the relationship between the price of regular unleaded gasoline in the U.S. (units-$/gallon) and the acquisition cost of OPEC crude oil (units-$10/barrel). Summary measures for a random sample of 13 years are given below 13 29.3 0.39 329.67 143.61 What is the estimated regression equation? (Specify which variable is y and which is x) Question 1 where ice of gas t of Question 2 Show the...
Your task s to mid a prediction interval lor the y-value when x=2019. show 4 deerma Iditarod Modeling to Prediction Interval for single Y- Find x Win Years Day Hour Min Sec 2018 9 12 0 0 228.0 2017 8...
Your task s to mid a prediction interval lor the y-value when x=2019. show 4 deerma Iditarod Modeling to Prediction Interval for single Y- Find x Win Years Day Hour Min Sec 2018 9 12 0 0 228.0 2017 8 3 40 13 195.6703 2016 8 11 20 16 203.3378 2015 8 18 13 6 210.2183 2014 8 13 4 19 205.0719 2013 9 7 39 56 223.6656 2012 9 4 29 26 220.4906 2011 8 18 46 39 210.7775...
17) The following linear trend expression was estimated using a time series with 17 time periods (that is, the values of tare 1, 2, V,= 129.23.8t Calculate a 95% prediction interval for the value of Y at time period t 18 (i.e, h 1 period ahead). Use the fact that the average of the time values is 9, the standard deviation of the time values is s 5.05, and the regression standard error se 0.841. Take all calculations and the...
10. Use the computer to create a prediction interval for the Y for the values of X of your 15th observation (Statistix calls them cases). Interpret this confidence interval. (4 points) Predicted/Fitted values of Rent Lower Predicted Bound Predicted Value Upper Predicted Bound SE (Predicted Value) 8.1160 1404.5 2800.9 694.50 Lower Fitted Bound Fitted Value Upper Fitted Bound SE (Fitted Value) 1094.4 1404.5 1714.6 154.25 Unusualness (Leverage) Percent Coverage Corresponding T. 0.0519 95 2.01 Case number 15 was used to...
Consider the following time series: 1 2 3 4 4 7 9 10 The forecast for period 5, to two decimal places, would be Hint: You have to first find the estimated regression equation. You can do this in Excel in three ways: 1). Make a scatterplot of the data above, right-click on the data, and use the "Add trendline" option. Check the box that says "display the equation on the chart." 2). Fit the regression model using the Data...
#2 Options
The Prediction Interval would:
-be identical to the confidence interval-
-have the same center as, but would be narrower than the
confidence interval-
-be to the left of the confidence interval-
-be to the right of the confidence interval-
-have the same center as, but would be wider than the confidence
interval-
#3 Options
The interval computed from a mileage of 31.0 would:
-be narrower but have the same center-
-be wider but have the same center-
-be...
HELP ASAP
For the data set below, calculate the correlation between X and Y to three (3) decimal places. To Use Excel's CORREL Function 1). Open up the worksheet above and select a blank cell you might need to click "Enable Editing" to select a cell). 2). Type -CORRELL 3). For "arrayı, select the column of values for one of the variables. Remember, for correlation that it does not matter which variable you call "X" and which you call "Y."...
Consider the following time series data. t 1 ය 6 11 2 4 5 Y 9 13 15 a. Which of the following is a correct time series plot for this data? 1. TimeSeries Value 14 -12 10 te 16 -4 F2 3 Time Period/t) 2. TimeSeries Value +14 +12 10 18 6 -4 1 3 Time Period (t) 3. TimeSeries Value F14 +12 10 18 6 -4 2 2 Time Period (t) - Select your answer. What type of...
3. (40 points) Use the graph, an output of the least squares prediction equation for the starting salary data (in thousands of dollars) given a graduated student's cumulative GPA, and the table of sampled data below to do the following Student ID GPA(x) 3.26 Starting Salary (y) 33.8 2.60 29.8 3.35 33.5 2.86 30.4 3.82 36.4 2.21 27.6 3.47 35.3 Regression Plot Y= 14.8156 + 5.70657x R-Sq 0.977 寸 853 4.0 2.0 2.5 3.0 3.5 GPA (a) Identify and interpret...
I just need help with questions 5,6 and 7
Economists wish to look at the relationship between the price of regular unleaded gasoline in the U.S. (units-$/gallon) and the acquisition cost of OPEC crude oil (units-$10/barrel). Summary measures for a random sample of 13 years are given below 13 29.3 0.39 329.67 143.61 What is the estimated regression equation? (Specify which variable is y and which is x) Question 1 where ice of gas t of Question 2 Show the...
Your task s to mid a prediction interval lor the y-value when x=2019. show 4 deerma Iditarod Modeling to Prediction Interval for single Y- Find x Win Years Day Hour Min Sec 2018 9 12 0 0 228.0 2017 8 3 40 13 195.6703 2016 8 11 20 16 203.3378 2015 8 18 13 6 210.2183 2014 8 13 4 19 205.0719 2013 9 7 39 56 223.6656 2012 9 4 29 26 220.4906 2011 8 18 46 39 210.7775...
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