The following table was generated from the sample data of 10 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (\(x_1\)) is the number of hours unsupervised each night, and the second independent variable (\(x_2\)) is the number of hours of video games each night.| | Coefficients | Standard Error | t-Stat | p-value ||--------------------------|--------------|----------------|----------|----------|| Intercept | 62.711817 | 4.607133 | 13.611896| 0.000010 || Hours Unsupervised | 0.635048 | 0.915495 | 0.693666 | 0.513836 || Hours Playing Video Games| 7.528738 | 1.296727 | 5.805955 | 0.001145 |**Step 1 of 2:** Write the multiple regression equation for the computer output given. Round your answers to three decimal places.**Answer**\[\hat{y} = \_\_\_ + \_\_\_ \, x_1 + \_\_\_ \, x_2\]**How to enter your answer** (opens in new window)- Tables- Keypad- Keyboard Shortcuts

The regression coefficient for intercept is 62.712.

Answered: The following table was generated from…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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You are an education researcher interested in studying if race or ethnicity affects the severity of punishment children receive. Through open records, you are able to collect from several high schools the length of suspensions given to kids for fighting along with the race/ethnicity of the child. The state of Texas divides school children into one of 7 race/ethnicity groups: African American, American Indian, Asian, Hispanic, Pacific Islander, White, or Multiracial. You want to compare the average length of suspension among these 7 groups. Which statistical test would be best to determine if there is a significant difference in the severity of punishment among the different groups? one-sample t-test related samples t-test independent samples t-test ANOVA
The dataset NBAPlayers2015 contains information on many variables for players in the NBA (National Basketball Association) during the 2014–2015 season. The dataset includes information for all players who averaged more than 24 minutes per game, and includes players and 24 variables.Distribution of Blocked Shots in the NBAThe variable Blocks in the dataset NBAPlayers2015 includes information on the number of blocked shots during the season for each of the 182 players in the dataset.The following are the 30 data values randomly selected from the dataset. 34 17 8 14 30 42 10 74 36 18 7 68 29 147 21 54 50 49 20 8 12 4 84 103 21 45 153 84 142 30 Click here to access StatKey. (a) Use StatKey or other technology to find the mean and the standard deviation of the number of blocked shots. (Note: Please use the above data values for your calculation) Round your answers to one decimal place.mean = Enter your answer in accordance to item (a) of the question statement…
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Suppose Laura, a facilities manager at a health and wellness company, wants to estimate the difference in the average amount of time that men and women spend at the company's fitness centers each week. Laura randomly selects 15 adult male fitness center members from the membership database and then selects 15 adult female members from the database. Laura gathers data from the past month containing logged time at the fitness center for these members. She plans to use the data to estimate the difference in the time men and women spend per week at the fitness center. The sample statistics are summarized in the table. Population Populationdescription Population mean(unknown) Samplesize Sample mean(min) Sample standarddeviation (min) 11 male μ1 n=15 x¯1=137.7 s=51.7 22 female μ2 n=15 x¯2=114.6 s=34.2 df=24.283 The population standard deviations are unknown and unlikely to be equal, based on the sample data. Laura plans to use the two-sample ?-t-procedures to estimate the…
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A high school teacher would like to examine his students’ exam scores based on seating arrangements. He assigned n = 15 students to sit in the last three rows of his class and n = 15 students to sit in the first three rows. Each student received a 45-minute lecture for one week and were given the same exam the following school day. The front row students had a mean of M = 78 with SS = 10.50 on their exam. And the back row students had a mean of M = 72 with SS = 8.90. Is there a significant difference in exam scores? Test with = .05.
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If all of the students in a class earn the same score on a quiz, what should be said about the variability of the scores?
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An Internet retailer would like to investigate the relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. The table to the right shows the data from a random sample of

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