Question: PLEASE DO ALL PARTS WITH WORK, AND USES R SOFTWARE SO PLEASE SHOW COMMANDS. PLEASE DO QUESTION 2 WHICH STARTS WITH USING THE DATA FROM

PLEASE DO ALL PARTS WITH WORK, AND USES R SOFTWARE SO PLEASE SHOW COMMANDS. PLEASE DO QUESTION 2 WHICH STARTS WITH "USING THE DATA FROM 1" THE FIRST PICTURE IS ATTACHED FOR THE DATA

1. A student undertakes a project to determine the effect of carbon dioxide on respiration rate using the following methodology. A volunteer inhaled air from a bag containing a predetermined amount of carbon dioxide (measured in torr, a standard unit of at- mospheric pressure) and the number of breaths per minute was recorded. Her data is given below: Partial Pressure CO2 Respiration rate (tcorr) (breaths/min) 30 8.1 32 8.0 34 9.9 36 11.2 38 11.0 40 13.2 42 14.6 44 16.6 46 16.7 48 18.3 50 18.2 (a) Find the line of best fit. (b) Use an hypothesis test (full 5 steps) to test whether or not the slope belongs in the model. (c) Calculate the 95% confidence interval for the slope (d) What is the predicted respiration rate for 48 torr? (e) What is the predicted repiration rate for 38 torr? (f) Calculate and interpret RP. Using the data in 1., complete the linear regression in R. You will copy and paste all commands and output into a Word document to upload. (a) Enter the x and y coordinates into R. You can do this like the slides/video, put into an Excel spreadsheet then upload or another creative way but I will need to see how you imported the data with a command. (b) Create a scatterplot with axes labeled correctly with units. (c) Run the command to create the linear model in R (d) Highlight in the output all the values that correspond/help in computing parts a, b and f in 1. 1. A student undertakes a project to determine the effect of carbon dioxide on respiration rate using the following methodology. A volunteer inhaled air from a bag containing a predetermined amount of carbon dioxide (measured in torr, a standard unit of at- mospheric pressure) and the number of breaths per minute was recorded. Her data is given below: Partial Pressure CO2 Respiration rate (tcorr) (breaths/min) 30 8.1 32 8.0 34 9.9 36 11.2 38 11.0 40 13.2 42 14.6 44 16.6 46 16.7 48 18.3 50 18.2 (a) Find the line of best fit. (b) Use an hypothesis test (full 5 steps) to test whether or not the slope belongs in the model. (c) Calculate the 95% confidence interval for the slope (d) What is the predicted respiration rate for 48 torr? (e) What is the predicted repiration rate for 38 torr? (f) Calculate and interpret RP. Using the data in 1., complete the linear regression in R. You will copy and paste all commands and output into a Word document to upload. (a) Enter the x and y coordinates into R. You can do this like the slides/video, put into an Excel spreadsheet then upload or another creative way but I will need to see how you imported the data with a command. (b) Create a scatterplot with axes labeled correctly with units. (c) Run the command to create the linear model in R (d) Highlight in the output all the values that correspond/help in computing parts a, b and f in 1

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