I have attached the screenshot of the question and the screenshot of the data that is in shuttlemission file. Please answer the questions and provide the screenshots of the outputs as well. Please briefly explain your answers. And provide step to step screenshot of the JASP. Thanks Shuttle Mission Temperature Damaged1234567891011121314151617181920212223535758636667676768697070707072737575767678798111110000001010000000000Undamaged555566666656596666566666 Observational data on O-rings from 23 shuttle missions showing the number of damaged and undamaged O-rings for each space mission is provided here:shuttlemission.csvFor this task, we are interested in modelling the probability of damage to O-ring due to the temperature.Dependent VariableDamaged (this variable captures the damage to the O-ring: 1 iscoded for damaged and 0 is coded for undamaged)a. Import the data in JASP and run the logistic regression model on interest (provide a full capture of the output).b. Write the equation for the logistic regression based on the JASP output.c. Is the ẞ estimate associated with Temperature statistically significant with a 5% significance level? Interpret.d. Based on the output of the logistic model, is it justified that a part of the O-rings was damaged because of temperature (Yes/No)? Interpret.e. Find the model-estimated probability an O-ring being damaged for the following ambient temperatures:Temperature (degree Fahrenheit)51535557Explanatory VariableTemperature (ambient temperature in degree Fahrenheit)pYour submission of the Learning Journal assignment can be on a word document, a spreadsheet or a PDF.

We are asked to develop the Logistic regression model for interest.a. Import/enter the data in JASP, then go to Analyse>Regression>Logistic regression>enter the dependent and covariate variables.We get the following output:b) Based on the output, the equation of logistic regression is: where "ln" is the natural log and is the odds of being damaged.c) The p-value (p) associated with an estimate of temperature is 0.041, which is less than 0.05 (5%) significance level. Therefore, we can reject the null hypothesis of no significance and conclude that it is significant. The value of the estimate is -0.401, which means that for every one-degree Fahrenheit increase in the ambient temperature, the log of odds of being damaged decreases by 0.401 on average.d) Yes, because there is a significant relationship between temperature and the odds of damage, we can conclude that it is likely that the damage to the O-ring was because of temperature.e) For the logistic regression, the probability of being damaged is given as:p = For temp. = 51: p = For temp. = 53: p = For temp. = 55: p = For temp. = 57: p = a)b) , where "ln" is the natural log and is the odds of being damaged.c) ß is significant, The value of the estimate is -0.401, which means that for every one degree Fahrenheit increase in the ambient temperature, the log of odds of being damaged decreases by 0.401 on average.d) Yese) Temperature (Degree Fahrenheit)510.9965530.9922550.9827580.9622