.... 7. Test for significance of regression using a=0.05. What conclusions can you draw? VILII M

Using the countries assigned in Question 1, collect data on the quarterly (not seasonallyadjusted) consumer price index rate for 2001 – 2020.Provided in screenshots Year Quarter CPI rate Seasonal Index  Period De-seasonalized CPI rate                          (i) Compute the CMAs for the four quarters of 2002 and 2003 manually (Show ALLworkings). (ii) Use EXCEL to complete the calculation of the CMAs and the seasonal indices for2001 - 2020. Provide a table with the de-seasonalized input variables. iii)Using R-Studio, estimate a regression equation to determine the effect of time(period) on the De-Seasonalized CPI rate. Write down the forecast equation. (Allcodes and regression output should be provided).first two pictures are screenshots but the last section is pasted here 2018-04-01 1.0330755668451100 2018-07-01 0.3272675677575110 2018-10-01 -0.0574947362577725 2019-01-01 0.3351160342574930 2019-04-01 1.1985132267461000 2019-07-01 0.2741660078433930…

Because of high tuition costs at state and private universities, enrollments atcommunity colleges have increased dramatically in recent years. The following data show theenrollment (in thousands) for Jefferson Community College from 2001–2009:Year Period (t) Enrollment (1000s)2001 1 6.52002 2 8.12003 3 8.42004 4 10.22005 5 12.52006 6 13.32007 7 13.72008 8 17.22009 9 18.1Compute F10: the Forecast for 2010. Compute Pearson’s Correlation Coefficient Use the Method of Least Squares to obtain the Best-Fit-Line for this data. Use the line to compute the forecast.

Solve task from image

Please answer the following question using the images provided for data in the images.   1. Which of the following time periods will have the largest annual average increase in the percentage of jobs that could be fully automated (based on the provided images attached)? A) 2020-2028 B) 2028-2030 C) 2030-2035 D) 2035-2040 E) 2040-2050

(e) Test the hypothesis Ho : B1 = 10 versus H1 :ß, # 10 using a = 0.01. Ho and conclude the slope v 10 at a = 0.01. (d) Test the hypothesis Ho : Bo = 0 versus H1 : Bo + 0 using a = 0.01. Ho and conclude that the intercept be included in the model.

A bike sharing program recorded meteorological factors as part of efforts to understand factors related to bike usage on Sundays. The bike usage and the average temperature (Temp below, in degrees Celsius) on 12 consecutive Sundays is provided below. Usage Temp 2586 6.2 2886 5.3 3850 10.3 7.2 9.8 9.3 17.6 14.7 15.4 3352 3842 3665 4592 4409 4562 <

Heart rate during laughter. Laughter is often called “the best medicine,” since studies have shown that laughter can reduce muscle tension and increase oxygenation of the blood. In the International Journal of Obesity (Jan. 2007), researchers at Vanderbilt University investigated the physiological changes that accompany laughter. Ninety subjects (18–34 years old) watched film clips designed to evoke laughter. During the laughing period, the researchers measured the heart rate (beats per minute) of each subject, with the following summary results:  Mean = 73.5, Standard Deviation = 6. n=90 (we can treat this as a large sample and use z) It is well known that the mean resting heart rate of adults is 71 beats per minute. Based on the research on laughter and heart rate, we would expect subjects to have a higher heart beat rate while laughing.Construct 95% Confidence interval using z value. What is the lower bound of CI? a)  Calculate the value of the test statistic.(z*) b)  If…

The El Nino phenomenon has significant impacts on the global distribution of weather and on the flow of most tropical rivers. Consider the data in Table below on the anomaly of sea surface temperature in the Pacific Ocean in degree Centigrade (an index of El Nino) and the annual flow of the Nile river in cubic kilometers for the period 1972 -1985. Year 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 -1.1 -0.8 -1.3 -1.3 0.2 1.7 -0.5 -0.7 0.3 -0.5 113 83 121 111 96 70 134 124 97 92 Where, t temperature (°C) and f= flow (km/year) Estimate the linear regression between the two variables (1 and f).

How sensitive to changes in water temperature are coral reefs? To find out, scientists examined data on sea surface temperatures, in degrees Celsius, and mean coral growth, in centimeters per year, over a several‑year period at locations in the Gulf of Mexico and the Caribbean Sea. The table shows the data for the Gulf of Mexico. Sea surface temperature 26.726.7 26.626.6 26.626.6 26.526.5 26.326.3 26.126.1 Growth 0.850.85 0.850.85 0.790.79 0.860.86 0.890.89 0.920.92 (b) Find the correlation ?r step by step. Round off to two decimals places in each step. First, find the mean and standard deviation of each variable. Then, find the six standardized values for each variable. Finally, use the formula for ?r . Round your answer to three decimal places.