For example in a Clinical research if there is some Diet followed and we a -ve correlation on the Diet and Health then we can say that as the Protein Diet Decreases Increases risk in health issues and. Q17. There should not be any relationship between predicted values and residuals. They all have the same variance (“homoscedasticity”). The cake was 50 percent chocolate and 50 percent vanilla (quantitative). Select one: a. For more detail click here.

Select One: A.

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Consider your audience, evidence, and most importantly, the objectives of your research when choosing a structure for presenting your findings. Q3. Whether we learn the weights by matrix inversion or gradient descent. A. Q16. The attempt to persuade or convince an audience, often through writing. How can we have overfitting issue? Logistic Regression transforms the output probability to be in a range of [0, 1]. We add a feature in linear regression model and retrain the same model. It includes many techniques for modeling and analyzing several variables. We need to fit n-1 models to classify into n classes. (Que 11). Note: y is dependent variable and x is independent variable. Plz explain “”can take infinite number of values between any defined interval” What do you mean by defined interval? So in this case bias is high and variance in low. Take a example of 3-class(-1,0,1) classification. Please explain Q26. The relationship is not symmetric. Qualitative research methodology involves the psychoanalytic approach or the humanistic approach. Catalogue your findings—use subheadings to streamline and clarify your report. In that particular case coefficients changed from [0.25; 0.25] to [7.3e-17; 0.5]. Regards, You can refer this book “The Elements of Statistical Learning”. ", These Software Tools Can Help You Analyze Qualitative Data, Understanding Secondary Data and How to Use It in Research, Critical Thinking Definition, Skills, and Examples. In case of very large lambda; bias is low, variance is low, B.

Q44.

True or False? In some cases, a spark or flame (source of ignition) is not necessary for the material to catch on fire but only the presence of an oxidizer. Choose the option(s) below which describes relationship of bias and variance with lambda. As individuals get taller, they take up more volume, which leads to an increase in height, so a positive relationship is expected. Suppose you have fitted a complex regression model on a dataset. Suppose you have the following data with one real-value input variable & one real-value output variable. The expected value of Y is a linear function of the X variables. Suppose you are training a linear regression model. In simple linear regression, there is one independent variable so 2 coefficients (Y=a+bx).

It is really a good question. This can also include leading questions that will lead the respondent to answer the question in the manner that the researcher prefers.