How do you determine whether a regression model is showing a case of redundancy?

Pls help ASAP. Pls show all work.

The y-intercept in a linear regression model is always relevant and of interest to investigators for every model constructed.  True  False

What is regression R2 ? Explain both with formula and its meaning in a linear regression model? What does it mean if you have a low regression R2 ?

A 1 ROAA (%) Efficiency Ratio (%) 2 1.04 39.93 3 57.75 4 81.4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 0.68 7.27 1.08 0.72 0.92 0.79 1.04 1.76 1.07 1.37 0.93 0.66 1.72 1.5 0.59 2.12 1.11 1.45 1.06 B A 53.49 71.08 65.41 68.07 68.14 68.1 64.82 48.58 63.1 59.16 49.93 54.7 81.6 75.21 69.82 49.47 57.09 с Total Risk-Based Capital (%) 17.04 13.88 27.77 18.31 14.66 14.04 13.38 16.8 16.69 13.86 12 18.65 19.76 17.69 26.6 15.08 14.55 17.5 16.03 14.62 D E F G H |

How does utilizing linear regression benefit or help a business?

A humane society claims that less than 64​% of households in a certain country own a pet. In a random sample of 700 households in that​ country, 427 say they own a pet. At alphaαequals=0.01​, is there enough evidence to support the​ society's claim? Complete parts​ (a) through​ (c) below. ​(a) Identify the claim and state Upper H 0H0 and Upper H Subscript aHa.   Identify the claim in this scenario. Select the correct choice below and fill in the answer box to complete your choice. ​(Type an integer or a decimal. Do not​ round.)   A. nothing​% of households in the country own a pet.   B. More than nothing​% of households in the country own a pet.   C. Less than nothing​% of households in the country own a pet.   D. The percentage households in the country that own a pet is not nothing​%. Let p be the population proportion of​ successes, where a success is a household in the country that owns a pet. State Upper H 0H0 and Upper H Subscript aHa. Select the…

When should a regression model not be used to make a prediction?

Explain what a residual is and how this relates to the best-fit regression model.

when a regression is used as a method of predicting dependent variables from one or more independent variables. How are the independent variables different from each other yet related to the dependent variable?