Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is29 years. Is the result within 5 years of the actual Best Actor winner, whose age was 44 years?Best ActressBest Actor2932305840 4733473347 622943 57 O59214044355249534332Find the equation of the regression line.(Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)

Step-by-step procedure to find the regression line using Excel: In Excel sheet, enter Best Actress…

Answered: bê the predictor (x) variable. Using…

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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Describe in detail the results achieved on the company’s test. Ignore other variables for now, just describe the test results. If the company is considering training for the lowest 10% of employees what score would they need to achieve to be exempted from training? Test Result 163 148 142 173 168 155 163 194 119 124 149 171 160 104 165 154 122 160 148 138 158 112 189 163 203 165 176 152 74 129 166 134 124 169 187 163 172 195 149 107 156 183 133 83 148 127 173 95 139 179 136 153 141 155 179 152 129 155 145 113 142 147 171 139 174 143 96 199 143 172 123 146 128 187 138 163 178 154 199 164 123 201 205 135 123 138 195 184 165 196 154 176 82 173 156 149 152 116 174 141 111 74 123 182 157 141 167 162 172 107 149 182 112 135 177 159 138 163 148 198…
The table below gives the percent of U.S. seniors (aged 65+ years) who used the internet in selected years. Year 2012 2014 2016 2018 2019 % of U.S. seniors using internet 54 57 64 66 73 Use a line of best-fit to predict the percent of U.S. seniors who will use the internet in the year 2022. A. 74 % B.76 % C.77 % D.79 % E.81 %
Every day a school bus driver passes the same traffic light twice, once before school and once after. Each time he passes the light, he records if it is red, green, or yellow. Here is a summary of the data he got after 200 days. Traffic light before school red red red green green green yellow yellow yellow Traffic light after school red green yellow red green yellow red green yellow Number of days 25 38 12 34 36 11 16 13 15 Suppose the driver will continue recording the colors for 150 more days. In how many of these 150 days will the light be yellow exactly once? Use the data to make a prediction.
The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
Researchers are wondering whether they can predict college GPA with the number of hours studying per week. To test this, they randomly select 8 college students, record their GPA and the number of hours spent studying per week. ID GPA 1 2.5 2 2.7 3 3.4 4 3.7 5 2.7 6 1.9 7 2.0 8 4.0 Hours studying per week 25.0 Based on the information in the table above, the researchers compute the regression equation: Y = -0.970+ 0.125 X. Do the researchers have enough evidence to claim that the number of hours studying predicts students' GPA? Select the null hypothesis for the statistical test: b=0 OB=0 B = -0.970 Ob = 0.125 27.6 30.2 35.0 31.6 25.6 30.0 40.0
Researchers are wondering whether they can predict college GPA with the number of hours studying per week. To test this, they randomly select 8 college students, record their GPA and the number of hours spent studying per week. GPA 2.5 2.7 3.4 3.7 2.7 1.9 2.0 4.0 ID 1 2 3 4 5 6 7 8 Hours studying per week 25.0 27.6 30.2 35.0 31.6 25.6 30.0 40.0 Based on the information in the table above, the researchers compute the regression equation: Y = -0.970 + 0.125 X. Do the researchers have enough evidence to claim that the number of hours studying predicts students' GPA? Based on the analysis, what would be the predicted GPA for someone who studies 30 hours per week? O2.00 O Cannot be predicted. O 1.25 2.78
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
Using this data, how would you find a 95% prediction interval for the number of programs in year 11?
Last two please!

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