MULTIPLE LINEAR REGRESSION – PREDICTING OUTCOMES USING MULTIPLE VARIABLES | Data Analytics day 88
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there are many more examples, but it’s the feeling of being stuck. it’s extremely difficult a lot of the times, and honestly the sequences of starting certain tasks (like showering, eating, getting up) is what’s so overwhelming #neurodivergent #neurospicy #autism #mentalhealthawareness
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It’s okay if your opinion on ABA differs from mine. This is my perspective, and you’re entitled to yours. 🩷 Sources informing this video: • Gitimoghaddam et al. (2022): Applied Behavior Analysis in Children and Youth with Autism Spectrum Disorders: A Scoping Review. • Wilkenfeld & McCarthy (2020): Ethical Concerns with Applied Behavior Analysis for Autism Spectrum “Disorder.” • Anderson (2023): Autistic Experiences of Applied Behavior Analysis. • Gillespie-Lynch et al. (2017): Whose Expertise I
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If you’re autistic or have sensory sensitivities, changes in barometric pressure may hit your body hard. In my experience—and the experiences of autistic people I know—that can mean a runny nose before a storm, body aches, or other physical changes as the weather shifts. This is real, and I’m speaking about a pattern we experience firsthand. Our bodies respond to changes around us, and those experiences deserve to be taken seriously. 🌧️ #Autism #SensorySensitivity #BarometricPressure
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The least squares method is a technique used to find the best-fitting line for a set of data points. Suppose we are given pairs of values (x1, y1), (x2, y2), and so on, and we want to describe the relationship between x and y using a linear equation of the form y = ax b. In most real-world situations, the points will not lie perfectly on a single line, so we measure the error at each point as the vertical difference between the actual value yi and the predicted value axi b. The least squares met
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