Data Services In Tucson AZ At NW Database Services

What Is Regression and Correlation Analysis?

Both regression and correlation analysis can be used to determine how two or more sets of variables relate.

Regression analysis is used to analyze how one dependent variable (or output) is affected by one or more independent variables (or inputs). This is often used to test hypotheses and for predictive analytics. To predict the future sales of sunscreen (an input variable), you could compare sales from last year with weather data (which can be both input variables) in order to determine how sunny days have influenced sales.

Correlation analysis measures the degree of correlation between two or more datasets. Correlation analysis does not infer cause-and-effect, unlike regression analysis. We can conclude that sunburn and ice cream sales are related. It would be wrong to claim that sunburn is caused by ice cream. This guide will help you understand correlation and how it differs to covariance.

We’ve only listed a few of the many inferential methods that you can use for data analytics. These techniques offer a glimpse of the predictive power inferential statistics has to offer.

What Is Descriptive Analytics?

The most simple of all data analytics techniques is descriptive analytics. This involves the process of parsing or breaking down data and summarizing its key features and characteristics. This is descriptive analytics, which presents the past without looking at why or how.

It is not a descriptive statistic, but descriptive analytics uses simple descriptive statistics. It includes measures of central tendency (mean and median), frequency or count, central tendency (mean and mode), variability (such as variance, standard deviation), and central tendencies (mean and median). It also measures the positions of different data points, such as the interquartile (or percentile) range.

Reports, pivot tables and visualizations such as histograms and line graphs are used to present descriptive analytics findings.

How to Use Descriptive Analytics?

Data analysts can use descriptive statistics for summary of more or less all types of data. However, it is helpful to view it as the beginning of a longer process. This is because descriptive statistics can only describe patterns or trends, but it will not dig deeper. This is why we need tools such as predictive and diagnostic analytics. However, descriptive analytics can be extremely useful in introducing yourself into unknown data.

Material for this article originally appeared on Career Foundry.

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Tucson, Arizona is the county seat of Pima County in Arizona. It is also home to the University of Arizona. It is Arizona’s second-largest city, after Phoenix. In 2020, the United States census recorded that Tucson had a population 542,629. The entire Tucson metropolitan statistical region (MSA), however, has 1,043,433. The Tucson MSA is part of the larger Tucson – Nogales combined statistical area. (CSA). The Arizona Sun Corridor is anchored by Phoenix and Tucson. It is located 108 miles (174km) southeast of Phoenix, and 60 miles (97 km), north of the U.S.-Mexico border. Tucson is the 33rd largest city in the United States and the 53rd biggest metropolitan area in the United States (2014).

History

Paleo-Indians visited Tucson around 12,000 years ago. Recent archaeological excavations found a village site that dates back to 2100 BC. From 1200 BC to 150 AD, the floodplain of Santa Cruz River was used extensively for agriculture. They hunted, collected wild plants and nuts and ate corn, beans, and other crops that they had grown through the irrigation canals.

Climate

Tucson’s climate is hot and desert with two main seasons: a hot summer, and a mild winter. Tucson receives an average of 10.61 inches (269.5 mm) of precipitation annually. This is concentrated during the Pacific storms in winter and the North American Monsoon in summer. The spring and fall months are sunny and dry. Although Tucson is located at a lower latitude than Phoenix Phoenix, Tucson is still cooler and wetter because of a number of factors such as elevation and the orographic lift in the surrounding mountains. However, Tucson can occasionally experience warmer daytime temperatures during winter.

Demographics

The city had 520,116 residents, 229762 households and 112,455 family members as of 2010. The average population density was 2,051 people per square mile (965.3/km2). The average density of 209,609 dwelling units was 1,076.7/square mile (415.7/km2). The city’s racial makeup was 69.7% White, down from 94.8% in 70, 5.0% Black or African-American and 2.7% Native American. There were also 0.2% Pacific Islander, 16.9% of other races, and 3.8% form two or more races. 41.6% of the population was Hispanic/Latino of any race. Non-Hispanic whites accounted for 47.2% in 2010 compared to 72.8% in 1970.

Transportation

Sun Tran buses serve Tucson. They offer standard, express, regional, and on-demand bus service. In 1988 and 2005, it was named Best Transit System. Sun Link is a streetcar line that runs 3.9 miles (6.3 km) between the University of Arizona campus and 4th Avenue in downtown Phoenix. It also connects to the Mercado District west of Interstate 10 or the Santa Cruz River. The first ten-minute headway passenger service was launched July 25, 2014. Sun Tran’s card payment system and transfer system is used to connect the streetcar with Amtrak and Greyhound intercity bus services.

Top Businesses

The University of Arizona is Tucson’s largest employer and has been a major driver of its economic growth. Many jobs are also available at the city’s southern edge, Davis-Monthan Air Force Base. Due to its presence and the US Army Intelligence Center, Fort Huachuca (the largest employer in the area, located nearby), it has helped develop many high-tech industries including government contractors. Tucson is also the hub of Union Pacific Railroad’s Sunset Route, which connects Los Angeles ports to the South/Southeast areas of the country.

Tucson AZ Map