This exercise requires the use of a statistical software package.The cotton aphid poses a threat to cotton crops. The accompanying data ony = Infestation rate (aphids/100 leaves)X1 = Mean temperature (°C)x2 = Mean relative humidityappeared in an article on the subject.ŷy=62 21.0105X188 28.3 41.5 94 26.0 56.097 27.5 58.0 101 27.1 31.0x268103 28.3 40.0 75 34.0 25.0757.0 78 24.8 48.062 30.5 34.0 42 28.3 13.013 33.6 20.028 30.8 37.0 20 31.0 19.031 31.3 21.026.8 36.5 119 29.0 41.0617834.3X133.0 24.519 33.0 21.06.043 32.0 28.0X227.8 39.022 31.8 17.024 33.53934.518.516.020 34.3 26.022 26.5 26.057 27.3 24.558 25.8 29.083 25.0 41.0 88 18.5 53.526.0 51.0 103 19.0 48.0Find the estimated regression equation of the multiple regression model y = a + B₁X₁ + ₂×₂ + e. (Round your numerical valuesto two decimal places.)107 18.0 70.0 98 16.3 79.5Assess the utility of the multiple regression model using a significance level of 0.05.Calculate the test statistic. (Round your answer to two decimal places.)F =Use technology to calculate the P-value. (Round your answer to four decimal places.)P-value =

It is given that the variable y be the infestation rate, x1 be the mean temperature, and x2 be the…

Answered: This exercise requires the use of a…

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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The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of α = 0.01. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. Best Actor (years) A. 70- 20+ CHIT • 20 70 Best Actress (years) The linear correlation coefficient is r = (Round to three decimal places as needed.) B. Best Actor (years) 70- 20- IDI ... ● 20 70 Best Actress (years) Best Actress 28 30 Best Actor 41 37 O Best Actor (years) Print 70- 20+ Best Actresses and Best Actors 29 61 33 32 36 43 49 50 20 70 Best Actress (years) 46 64 29 60 23 53 40 56 Done 43 43 57 32 n X Best Actor (years) 70- 20+ Mid 18 ● ● 20 70 Best…
Chi-Square Distribution A study is conducted comparing the proportions of people of different age groups who prefer several major brand of juice drink, with these results: Under are 20 20 to 30 over 30 Magnolia Zesto Big 307 204 258 505 455 354 450 206 127 At a = 0.01 can it be concluded that there is any difference in the proportion of people of different age group who prefer several major brand of juice drink?
Can you please check my work
A university found that 18% of students withdraw without completing the introductory statistics course. Assuming 180 students entered these intro courses, find: a) use the Binomial command(s) to find the probability that 23 students will withdraw. b) Use the Binomial command(s) to find the probability that more than 39 students will withdraw. c)Re-do (a) and (b) using the normal approximation. d) Create a 95% confidence interval for X, the # students who withdraw. e) Find the probability P(23 <= X <= 42) using the binomial setting, does this make sense when you look at your answer to (d)? Briefly explain.
The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Ticket Price Attendence 6 176 10 111 14 187 18 102 22 190 26 188 30 110 Ho: ρ = 0Ha: ρ ≠ 0 Find the p-value=
The data in Table 7..7 are collected in an experiment designed to investigate the impact of different positions of the mother during ultrasound on fetal heart rate. Fetal heart rate is measured by ultrasound in beats per minute. The study includes 20 women who are each assigned to one position and have the fetal heart rate measured in that position. Each woman is between 28 weeks, and 32 weeks, gestation. Is there a significant difference in mean fetal heart rates by position? Run the test at a 5% level of significance. PLEASE SHOW THE ANSWER IN EXCEL FORMAT WITH FORMULAS.
The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a = 0.05. Weight, x Variability in braking distance, y 5980 5370 6500 5100 5820 4800 1.72 1.97 1.87 1.63 1.64 1.50 Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho: Ha: P Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical value is. B. The critical values are - to and to %3D Calculate the test statistic. t= (Round to three decimal places as needed.) What is your conclusion? There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between vehicle weight and…
Suppose we compute a correlation coefficient between two variable of r= 0. Which of the following must be true. O a. The correlation conditions have not been met O b. There is an outlier present in the scatterplot O c. There is no linear relationship between the two variables O d. There is no relationship at all between the two variables A Click Submit to complete this assessment. A Stat100_Practice..pdf Writing Prompt 3.docx Online Syllabus J....pdf 3 Bios357Schedul...pd ips-D056AE4A- Ips-53E329A5-0A IMG_S E23F-45...p4.movE6-4E6...mp4.mov OCT 」國TO 22 6. 20 F3 F1 O00 F2 F4 F5
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The authors of a paper presented a correlation analysis to investigate the relationship between maximal lactate level x and muscular endurance y. The accompanying data was read from a plot in the paper. X 390 740 760 y 3.90 r 3.90 5.00 5.30 4.10 3.60 6.20 OH₂: P = 0 Ha: P 0 1,465 1,470 1,495 2,190 t = P-value = 6.98 7.45 4.85 7.70 4.55 6.70 8.80 OH₂: P = 0 H₂: P = 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) State the conclusion in the problem context. O Fail to reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. Reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. O Fail to reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. O Reject Ho. A…
The data below was taken from the fat (g) and sodium (mg) found in different types of food found at fast food restaurants. 19 31 34 35 39 39 43 _y 920 1310 860 1180 940 1260 1500 a) Find the p-value to determine if there is a linear correlation between fat (g) and sodium (mg). Record the p-value below. Round to four decimal places. p-value = b) Is there a linear correlation between fat (g) and sodium (mg)? c) If there is a linear correation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. d) If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places. e) Using the data shown above, predict the the sodium found in fast food when the fat is 32 g. Round your final answer to two decimal places. f) If there is a linear correlation, what percentage of variation in sodium (mg) can be explained by fat (g)? If there is not a linear correlation, leave…

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